01Platforms
Amazon Bedrock
Act Now - What
- Amazon Bedrock: AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without copying the source
- Do
- Map AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without copying the source to one access, procurement, or oversight checklist before acting on it.Open the evidence from AWS ML Blog
- Why
- AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without copying the source changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Amazon Bedrock uses AWS ML Blog: AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without
Sources: AWS ML Blog
02Model families
ChatGPT
Act Now - What
- ChatGPT: Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before
- Do
- Run one current task through the method behind Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before and record pass/fail evidence.Open the evidence from Matt Wolfe
- Why
- Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. ChatGPT uses Matt Wolfe: Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it
Sources: Matt Wolfe
03Platforms
Claude Agent SDK
Act Now - What
- Claude Agent SDK: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex
- Do
- Run one current task through the method behind Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Claude Agent SDK uses AWS ML Blog: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with
Sources: AWS ML Blog
04Model families
Qwen
Act Now - What
- Qwen: Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed
- Do
- Trial the capability behind Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed in one reversible workflow before changing routes.Open the evidence from Simon Willison
- Why
- Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed creates a build-or-buy option whose value depends on integration, permissions, and rollback.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Qwen uses Simon Willison: Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4
Sources: Simon Willison
05Tools
Amazon Bedrock AgentCore
Act Now - What
- Amazon Bedrock AgentCore: Natera says its Amazon Bedrock AgentCore voice agent books mobile phlebotomy appointments with 100% tool-calling accuracy and sub-seven-second latency
- Do
- Run one current task through the method behind Natera says its Amazon Bedrock AgentCore voice agent books mobile phlebotomy appointments with 100% tool-calling accuracy and sub-seven-second latency and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- Natera says its Amazon Bedrock AgentCore voice agent books mobile phlebotomy appointments with 100% tool-calling accuracy and sub-seven-second latency shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 2 signals across 2 sources. Amazon Bedrock AgentCore uses AWS ML Blog: Natera says its Amazon Bedrock AgentCore voice agent books mobile phlebotomy appointments with 100% tool-calling accuracy and
Sources: AWS ML Blog · AWS ML Blog
06Tools
Amazon Bedrock AgentCore Evaluations
Act Now - What
- Amazon Bedrock AgentCore Evaluations: uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex, the OpenAI Agents SDK, Amazon Bedrock
- Do
- Run one current task through the method behind uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex, the OpenAI Agents SDK, Amazon Bedrock and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex, the OpenAI Agents SDK, Amazon Bedrock shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Amazon Bedrock AgentCore Evaluations uses AWS ML Blog: uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph
Sources: AWS ML Blog
07Tools
GitHub Copilot
Act Now - What
- GitHub Copilot: GitHub says the GitHub Copilot app can automate repetitive Dependabot pull-request triage
- Do
- Map GitHub says the GitHub Copilot app can automate repetitive Dependabot pull-request triage to one access, procurement, or oversight checklist before acting on it.Open the evidence from GitHub AI Blog
- Why
- GitHub says the GitHub Copilot app can automate repetitive Dependabot pull-request triage changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. GitHub Copilot uses GitHub AI Blog: GitHub says the GitHub Copilot app can automate repetitive Dependabot pull-request triage
Sources: GitHub AI Blog
- What
- LangChain: said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned evaluators, Bring
- Do
- Run one current task through the method behind said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned evaluators, Bring and record pass/fail evidence.Open the evidence from LangChain Blog
- Why
- said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned evaluators, Bring shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. LangChain uses LangChain Blog: said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned
Sources: LangChain Blog
09Tools
LangSmith LLM Gateway
Act Now - What
- LangSmith LLM Gateway: LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned
- Do
- Run one current task through the method behind LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned and record pass/fail evidence.Open the evidence from LangChain Blog
- Why
- LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. LangSmith LLM Gateway uses LangChain Blog: LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep
Sources: LangChain Blog
- What
- LlamaIndex: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex
- Do
- Run one current task through the method behind Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. LlamaIndex uses AWS ML Blog: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with
Sources: AWS ML Blog
11Tools
OpenAI Agents SDK
Act Now - What
- OpenAI Agents SDK: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex
- Do
- Run one current task through the method behind Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. OpenAI Agents SDK uses AWS ML Blog: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with
Sources: AWS ML Blog
12Tools
Security Knowledge and Insights Platform
Act Now - What
- Security Knowledge and Insights Platform: Intuit staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships
- Do
- Turn Intuit staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships into a containment test with an owner, halt trigger, and recovery check.Open the evidence from SiliconANGLE theCUBE
- Why
- Intuit staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Security Knowledge and Insights Platform uses SiliconANGLE theCUBE: Intuit staff software engineer Chad Cloes argued that as large language models become commodities
Sources: SiliconANGLE theCUBE
13Companies
Ethan Mollick
Act Now - What
- Ethan Mollick: argued that organizations should strengthen cybersecurity before open-weight frontier-class model harnesses become available, citing the Hugging Face
- Do
- Turn argued that organizations should strengthen cybersecurity before open-weight frontier-class model harnesses become available, citing the Hugging Face into a containment test with an owner, halt trigger, and recovery check.Open the evidence from @emollick on X
- Why
- argued that organizations should strengthen cybersecurity before open-weight frontier-class model harnesses become available, citing the Hugging Face changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 3 signals across 3 sources. Ethan Mollick uses @emollick on X: argued that organizations should strengthen cybersecurity before open-weight frontier-class model harnesses become available, citing
Sources: @emollick on X · @emollick on X · @emollick on X
14Companies
Greg Isenberg
Act Now - What
- Greg Isenberg: proposed two agent-era business models: replacing labor in established 20%-margin service businesses to pursue software-like margins, and selling APIs or
- Do
- Compare proposed two agent-era business models: replacing labor in established 20%-margin service businesses to pursue software-like margins, and selling APIs or with one renewal, budget, or vendor-risk decision before changing spend.Open the evidence from @gregisenberg on X
- Why
- proposed two agent-era business models: replacing labor in established 20%-margin service businesses to pursue software-like margins, and selling APIs or changes the economics to review while still requiring proof of an owned operating result.
No material change · Evidence held steady into Act Now on 3 signals across 3 sources. Greg Isenberg uses @gregisenberg on X: proposed two agent-era business models: replacing labor in established 20%-margin service businesses to pursue software-like
Sources: @gregisenberg on X · @gregisenberg on X · Greg Isenberg
- What
- OpenAI: is expanding its presence in Brazil and says it will deepen engagement with developers, businesses, and communities to support AI adoption
- Do
- Map is expanding its presence in Brazil and says it will deepen engagement with developers, businesses, and communities to support AI adoption to one access, procurement, or oversight checklist before acting on it.Open the evidence from OpenAI News
- Why
- is expanding its presence in Brazil and says it will deepen engagement with developers, businesses, and communities to support AI adoption changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 3 signals across 3 sources. OpenAI uses OpenAI News: is expanding its presence in Brazil and says it will deepen engagement with developers, businesses, and communities to support AI adoption
Sources: OpenAI News · Redwood Research Blog · @sama on X
- What
- MCP: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research
- Do
- Map A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research to one access, procurement, or oversight checklist before acting on it.Open the evidence from @amasad on X
- Why
- A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 2 signals across 2 sources. MCP uses @amasad on X: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO
Sources: @amasad on X · Greg Isenberg
17Technologies
WebMCP
Act Now - What
- WebMCP: Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based
- Do
- Map Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based to one access, procurement, or oversight checklist before acting on it.Open the evidence from @gregisenberg on X
- Why
- Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 2 signals across 2 sources. WebMCP uses @gregisenberg on X: Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing
Sources: @gregisenberg on X · Greg Isenberg
18Models
ModelBuilder
Act Now - What
- ModelBuilder: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any
- Do
- Turn Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any into a containment test with an owner, halt trigger, and recovery check.Open the evidence from AWS ML Blog
- Why
- Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. ModelBuilder uses AWS ML Blog: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local
Sources: AWS ML Blog
19Models
ModelTrainer
Act Now - What
- ModelTrainer: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any
- Do
- Turn Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any into a containment test with an owner, halt trigger, and recovery check.Open the evidence from AWS ML Blog
- Why
- Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. ModelTrainer uses AWS ML Blog: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local
Sources: AWS ML Blog
20Models
Qwen3.8-Flash-Next
Act Now - What
- Qwen3.8-Flash-Next: Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed
- Do
- Trial the capability behind Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed in one reversible workflow before changing routes.Open the evidence from Simon Willison
- Why
- Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed creates a build-or-buy option whose value depends on integration, permissions, and rollback.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Qwen3.8-Flash-Next uses Simon Willison: Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the
Sources: Simon Willison
- What
- Qwen4: Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed
- Do
- Trial the capability behind Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed in one reversible workflow before changing routes.Open the evidence from Simon Willison
- Why
- Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed creates a build-or-buy option whose value depends on integration, permissions, and rollback.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Qwen4 uses Simon Willison: Simon Willison described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4
Sources: Simon Willison
22Companies
Amazon Web Services
Act Now - What
- Amazon Web Services: AWS Marketplace vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered
- Do
- Validate AWS Marketplace vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered with a cumulative-spend test before granting unattended payment authority.Open the evidence from SiliconANGLE theCUBE
- Why
- AWS Marketplace vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered makes sequence-level spend and authorization the operating risk, not only single-transaction approval.
No material change · Evidence held steady into Act Now on 2 signals across 2 sources. Amazon Web Services uses SiliconANGLE theCUBE: AWS Marketplace vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces
Sources: SiliconANGLE theCUBE · LangChain Blog
23Companies
Matt Wolfe
Act Now - What
- Matt Wolfe: said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before using it for
- Do
- Run one current task through the method behind said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before using it for and record pass/fail evidence.Open the evidence from Matt Wolfe
- Why
- said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before using it for shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 2 signals across 2 sources. Matt Wolfe uses Matt Wolfe: said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before
Sources: Matt Wolfe · Matt Wolfe
24Companies
Strands Agents
Act Now - What
- Strands Agents: Amazon Bedrock AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without
- Do
- Map Amazon Bedrock AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without to one access, procurement, or oversight checklist before acting on it.Open the evidence from AWS ML Blog
- Why
- Amazon Bedrock AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 2 signals across 2 sources. Strands Agents uses AWS ML Blog: Amazon Bedrock AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another
Sources: AWS ML Blog · AWS ML Blog
25Companies
Thrive Holdings
Act Now - What
- Thrive Holdings: Greg Isenberg proposed two agent-era business models: replacing labor in established 20%-margin service businesses to pursue software-like margins, and
- Do
- Compare Greg Isenberg proposed two agent-era business models: replacing labor in established 20%-margin service businesses to pursue software-like margins, and with one renewal, budget, or vendor-risk decision before changing spend.Open the evidence from @gregisenberg on X
- Why
- Greg Isenberg proposed two agent-era business models: replacing labor in established 20%-margin service businesses to pursue software-like margins, and changes the economics to review while still requiring proof of an owned operating result.
No material change · Evidence held steady into Act Now on 2 signals across 2 sources. Thrive Holdings uses @gregisenberg on X: Greg Isenberg proposed two agent-era business models: replacing labor in established 20%-margin service businesses to pursue
Sources: @gregisenberg on X · @gregisenberg on X
- What
- Ai2: and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a promising
- Do
- Map and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a promising to one access, procurement, or oversight checklist before acting on it.Open the evidence from Allen AI Blog
- Why
- and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a promising changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Ai2 uses Allen AI Blog: and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a
Sources: Allen AI Blog
27Companies
Amazon Quick
Act Now - What
- Amazon Quick: GoDaddy says its two-year migration from a legacy BI tool to Amazon Quick saves 15,000 hours annually, cut its dashboard count by 50%, reduced rendering
- Do
- Trial the capability behind GoDaddy says its two-year migration from a legacy BI tool to Amazon Quick saves 15,000 hours annually, cut its dashboard count by 50%, reduced rendering in one reversible workflow before changing routes.Open the evidence from AWS ML Blog
- Why
- GoDaddy says its two-year migration from a legacy BI tool to Amazon Quick saves 15,000 hours annually, cut its dashboard count by 50%, reduced rendering creates a build-or-buy option whose value depends on integration, permissions, and rollback.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Amazon Quick uses AWS ML Blog: GoDaddy says its two-year migration from a legacy BI tool to Amazon Quick saves 15,000 hours annually, cut its dashboard count by 50%
Sources: AWS ML Blog
28Companies
Amazon Redshift Serverless
Act Now - What
- Amazon Redshift Serverless: Amazon Bedrock AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without
- Do
- Map Amazon Bedrock AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without to one access, procurement, or oversight checklist before acting on it.Open the evidence from AWS ML Blog
- Why
- Amazon Bedrock AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in another account without changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Amazon Redshift Serverless uses AWS ML Blog: Amazon Bedrock AgentCore agents in one AWS account can query a Bedrock knowledge base backed by Amazon Redshift Serverless in
Sources: AWS ML Blog
29Companies
Amazon SageMaker AI
Act Now - What
- Amazon SageMaker AI: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any
- Do
- Turn Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any into a containment test with an owner, halt trigger, and recovery check.Open the evidence from AWS ML Blog
- Why
- Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Amazon SageMaker AI uses AWS ML Blog: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize
Sources: AWS ML Blog
30Companies
AutoDiscovery
Act Now - What
- AutoDiscovery: Ai2 and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a
- Do
- Map Ai2 and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a to one access, procurement, or oversight checklist before acting on it.Open the evidence from Allen AI Blog
- Why
- Ai2 and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. AutoDiscovery uses Allen AI Blog: Ai2 and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover
Sources: Allen AI Blog
31Companies
AWS Marketplace
Act Now - What
- AWS Marketplace: vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered listing experience
- Do
- Validate vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered listing experience with a cumulative-spend test before granting unattended payment authority.Open the evidence from SiliconANGLE theCUBE
- Why
- vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered listing experience makes sequence-level spend and authorization the operating risk, not only single-transaction approval.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. AWS Marketplace uses SiliconANGLE theCUBE: vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an
Sources: SiliconANGLE theCUBE
- What
- Box: A SaaStr summary reported Box at $1.29 billion in revenue, with 17% billings growth, 106% net revenue retention, and 20 basis points of AI margin cost
- Do
- Compare A SaaStr summary reported Box at $1.29 billion in revenue, with 17% billings growth, 106% net revenue retention, and 20 basis points of AI margin cost with one renewal, budget, or vendor-risk decision before changing spend.Open the evidence from @jasonlk on X
- Why
- A SaaStr summary reported Box at $1.29 billion in revenue, with 17% billings growth, 106% net revenue retention, and 20 basis points of AI margin cost changes the economics to review while still requiring proof of an owned operating result.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Box uses @jasonlk on X: A SaaStr summary reported Box at $1.29 billion in revenue, with 17% billings growth, 106% net revenue retention, and 20 basis points of AI margin
Sources: @jasonlk on X
- What
- Brazil: OpenAI is expanding its presence in Brazil and says it will deepen engagement with developers, businesses, and communities to support AI adoption
- Do
- Map OpenAI is expanding its presence in Brazil and says it will deepen engagement with developers, businesses, and communities to support AI adoption to one access, procurement, or oversight checklist before acting on it.Open the evidence from OpenAI News
- Why
- OpenAI is expanding its presence in Brazil and says it will deepen engagement with developers, businesses, and communities to support AI adoption changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Brazil uses OpenAI News: OpenAI is expanding its presence in Brazil and says it will deepen engagement with developers, businesses, and communities to support AI adoption
Sources: OpenAI News
34Companies
Chad Cloes
Act Now - What
- Chad Cloes: Intuit staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships
- Do
- Turn Intuit staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships into a containment test with an owner, halt trigger, and recovery check.Open the evidence from SiliconANGLE theCUBE
- Why
- Intuit staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Chad Cloes uses SiliconANGLE theCUBE: Intuit staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational
Sources: SiliconANGLE theCUBE
35Companies
Cloudflare
Act Now - What
- Cloudflare: Wallets gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is live and
- Do
- Validate Wallets gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is live and with a cumulative-spend test before granting unattended payment authority.Open the evidence from InfoQ
- Why
- Wallets gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is live and makes sequence-level spend and authorization the operating risk, not only single-transaction approval.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Cloudflare uses InfoQ: Wallets gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is live
Sources: InfoQ
36Companies
Cloudflare Wallets
Act Now - What
- Cloudflare Wallets: gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is live and squatting
- Do
- Validate gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is live and squatting with a cumulative-spend test before granting unattended payment authority.Open the evidence from InfoQ
- Why
- gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is live and squatting makes sequence-level spend and authorization the operating risk, not only single-transaction approval.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Cloudflare Wallets uses InfoQ: gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is live
Sources: InfoQ
- What
- Codex: Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before
- Do
- Run one current task through the method behind Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before and record pass/fail evidence.Open the evidence from Matt Wolfe
- Why
- Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Codex uses Matt Wolfe: Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it
Sources: Matt Wolfe
38Companies
Content Refinery
Act Now - What
- Content Refinery: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research
- Do
- Map A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research to one access, procurement, or oversight checklist before acting on it.Open the evidence from @amasad on X
- Why
- A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Content Refinery uses @amasad on X: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for
Sources: @amasad on X
39Companies
Control Center
Act Now - What
- Control Center: Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before
- Do
- Run one current task through the method behind Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before and record pass/fail evidence.Open the evidence from Matt Wolfe
- Why
- Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and refining it before shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Control Center uses Matt Wolfe: Matt Wolfe said he used Codex inside ChatGPT for the initial build of a business dashboard, then spent hours testing, debugging, and
Sources: Matt Wolfe
40Companies
Conviva
Act Now - What
- Conviva: CEO Keith Zubchevich said enterprises deploying more AI agents must evaluate the experience those agents create, not merely whether they work, because
- Do
- Run one current task through the method behind CEO Keith Zubchevich said enterprises deploying more AI agents must evaluate the experience those agents create, not merely whether they work, because and record pass/fail evidence.Open the evidence from SiliconANGLE theCUBE
- Why
- CEO Keith Zubchevich said enterprises deploying more AI agents must evaluate the experience those agents create, not merely whether they work, because shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Conviva uses SiliconANGLE theCUBE: CEO Keith Zubchevich said enterprises deploying more AI agents must evaluate the experience those agents create, not merely whether
Sources: SiliconANGLE theCUBE
41Companies
Dependabot
Act Now - What
- Dependabot: GitHub says the GitHub Copilot app can automate repetitive Dependabot pull-request triage
- Do
- Map GitHub says the GitHub Copilot app can automate repetitive Dependabot pull-request triage to one access, procurement, or oversight checklist before acting on it.Open the evidence from GitHub AI Blog
- Why
- GitHub says the GitHub Copilot app can automate repetitive Dependabot pull-request triage changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Dependabot uses GitHub AI Blog: GitHub says the GitHub Copilot app can automate repetitive Dependabot pull-request triage
Sources: GitHub AI Blog
- What
- Docker: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any
- Do
- Turn Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any into a containment test with an owner, halt trigger, and recovery check.Open the evidence from AWS ML Blog
- Why
- Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Docker uses AWS ML Blog: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code
Sources: AWS ML Blog
43Companies
ExploitGym
Act Now - What
- ExploitGym: METR reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose
- Do
- Map METR reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose to one access, procurement, or oversight checklist before acting on it.Open the evidence from @emollick on X
- Why
- METR reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. ExploitGym uses @emollick on X: METR reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a
Sources: @emollick on X
- What
- Ford: Ethan Mollick noted that Ford moved from inventing the assembly line to full deployment in three years and cut car-building time by 88%, countering the
- Do
- Map Ethan Mollick noted that Ford moved from inventing the assembly line to full deployment in three years and cut car-building time by 88%, countering the to one access, procurement, or oversight checklist before acting on it.Open the evidence from @emollick on X
- Why
- Ethan Mollick noted that Ford moved from inventing the assembly line to full deployment in three years and cut car-building time by 88%, countering the changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Ford uses @emollick on X: Ethan Mollick noted that Ford moved from inventing the assembly line to full deployment in three years and cut car-building time by 88%
Sources: @emollick on X
45Companies
GoDaddy
Act Now - What
- GoDaddy: says its two-year migration from a legacy BI tool to Amazon Quick saves 15,000 hours annually, cut its dashboard count by 50%, reduced rendering times to
- Do
- Trial the capability behind says its two-year migration from a legacy BI tool to Amazon Quick saves 15,000 hours annually, cut its dashboard count by 50%, reduced rendering times to in one reversible workflow before changing routes.Open the evidence from AWS ML Blog
- Why
- says its two-year migration from a legacy BI tool to Amazon Quick saves 15,000 hours annually, cut its dashboard count by 50%, reduced rendering times to creates a build-or-buy option whose value depends on integration, permissions, and rollback.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. GoDaddy uses AWS ML Blog: says its two-year migration from a legacy BI tool to Amazon Quick saves 15,000 hours annually, cut its dashboard count by 50%, reduced rendering
Sources: AWS ML Blog
- What
- Google: Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based
- Do
- Map Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based to one access, procurement, or oversight checklist before acting on it.Open the evidence from @gregisenberg on X
- Why
- Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Google uses @gregisenberg on X: Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing
Sources: @gregisenberg on X
47Companies
Google ADK
Act Now - What
- Google ADK: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex
- Do
- Run one current task through the method behind Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Google ADK uses AWS ML Blog: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with
Sources: AWS ML Blog
48Companies
Google DeepMind
Act Now - What
- Google DeepMind: announced a pilot that it describes as the world's first double-blind AI evaluations
- Why
- announced a pilot that it describes as the world's first double-blind AI evaluations shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Google DeepMind uses Google DeepMind Blog: announced a pilot that it describes as the world's first double-blind AI evaluations
Sources: Google DeepMind Blog
49Companies
Grammarly
Act Now - What
- Grammarly: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research
- Do
- Map A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research to one access, procurement, or oversight checklist before acting on it.Open the evidence from @amasad on X
- Why
- A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Grammarly uses @amasad on X: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor
Sources: @amasad on X
50Companies
Hermes Agent
Act Now - What
- Hermes Agent: Nate Herk presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini
- Do
- Map Nate Herk presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini to one access, procurement, or oversight checklist before acting on it.Open the evidence from Nate Herk
- Why
- Nate Herk presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Hermes Agent uses Nate Herk: Nate Herk presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini
Sources: Nate Herk
51Companies
Hostinger
Act Now - What
- Hostinger: Nate Herk presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini
- Do
- Map Nate Herk presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini to one access, procurement, or oversight checklist before acting on it.Open the evidence from Nate Herk
- Why
- Nate Herk presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Hostinger uses Nate Herk: Nate Herk presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini
Sources: Nate Herk
- What
- Intuit: staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships among
- Do
- Turn staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships among into a containment test with an owner, halt trigger, and recovery check.Open the evidence from SiliconANGLE theCUBE
- Why
- staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the relationships among changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Intuit uses SiliconANGLE theCUBE: staff software engineer Chad Cloes argued that as large language models become commodities, proprietary organizational context and the
Sources: SiliconANGLE theCUBE
53Companies
Jason Lemkin
Act Now - What
- Jason Lemkin: reported that an AI assistant scheduled a coffee meeting at a Palo Alto shop that had closed two years earlier
- Do
- Map reported that an AI assistant scheduled a coffee meeting at a Palo Alto shop that had closed two years earlier to one access, procurement, or oversight checklist before acting on it.Open the evidence from @jasonlk on X
- Why
- reported that an AI assistant scheduled a coffee meeting at a Palo Alto shop that had closed two years earlier changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Jason Lemkin uses @jasonlk on X: reported that an AI assistant scheduled a coffee meeting at a Palo Alto shop that had closed two years earlier
Sources: @jasonlk on X
54Companies
Keith Zubchevich
Act Now - What
- Keith Zubchevich: Conviva CEO Keith Zubchevich said enterprises deploying more AI agents must evaluate the experience those agents create, not merely whether they work
- Do
- Run one current task through the method behind Conviva CEO Keith Zubchevich said enterprises deploying more AI agents must evaluate the experience those agents create, not merely whether they work and record pass/fail evidence.Open the evidence from SiliconANGLE theCUBE
- Why
- Conviva CEO Keith Zubchevich said enterprises deploying more AI agents must evaluate the experience those agents create, not merely whether they work shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Keith Zubchevich uses SiliconANGLE theCUBE: Conviva CEO Keith Zubchevich said enterprises deploying more AI agents must evaluate the experience those agents create, not
Sources: SiliconANGLE theCUBE
55Companies
LangGraph
Act Now - What
- LangGraph: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex
- Do
- Run one current task through the method behind Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. LangGraph uses AWS ML Blog: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph
Sources: AWS ML Blog
56Companies
LangSmith Engine
Act Now - What
- LangSmith Engine: LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned
- Do
- Run one current task through the method behind LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned and record pass/fail evidence.Open the evidence from LangChain Blog
- Why
- LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. LangSmith Engine uses LangChain Blog: LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents
Sources: LangChain Blog
57Companies
Linux Foundation
Act Now - What
- Linux Foundation: Cloudflare Wallets gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is
- Do
- Validate Cloudflare Wallets gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is with a cumulative-spend test before granting unattended payment authority.Open the evidence from InfoQ
- Why
- Cloudflare Wallets gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle claiming is makes sequence-level spend and authorization the operating risk, not only single-transaction approval.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Linux Foundation uses InfoQ: Cloudflare Wallets gives agents a stablecoin balance and spending controls on the Linux Foundation-hosted x402 payment rail, but only handle
Sources: InfoQ
58Companies
Managed Deep Agents
Act Now - What
- Managed Deep Agents: LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned
- Do
- Run one current task through the method behind LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned and record pass/fail evidence.Open the evidence from LangChain Blog
- Why
- LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep Agents v0.7, tuned shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Managed Deep Agents uses LangChain Blog: LangChain said Managed Deep Agents and its LLM Gateway entered public beta in August 2026; the newsletter also announced Deep
Sources: LangChain Blog
59Companies
Matt Yanchyshyn
Act Now - What
- Matt Yanchyshyn: AWS Marketplace vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered
- Do
- Validate AWS Marketplace vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered with a cumulative-spend test before granting unattended payment authority.Open the evidence from SiliconANGLE theCUBE
- Why
- AWS Marketplace vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS introduced an AI-powered makes sequence-level spend and authorization the operating risk, not only single-transaction approval.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Matt Yanchyshyn uses SiliconANGLE theCUBE: AWS Marketplace vice president Matt Yanchyshyn said agent-driven research and purchasing are reshaping online marketplaces; AWS
Sources: SiliconANGLE theCUBE
- What
- METR: reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose cheat
- Do
- Map reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose cheat to one access, procurement, or oversight checklist before acting on it.Open the evidence from @emollick on X
- Why
- reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose cheat changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. METR uses @emollick on X: reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a
Sources: @emollick on X
61Companies
Microsoft
Act Now - What
- Microsoft: Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based
- Do
- Map Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based to one access, procurement, or oversight checklist before acting on it.Open the evidence from @gregisenberg on X
- Why
- Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests, replacing screenshot-based changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Microsoft uses @gregisenberg on X: Greg Isenberg described WebMCP as websites exposing agent-ready actions for tasks such as buying, research, and quote requests
Sources: @gregisenberg on X
62Companies
Moltbook
Act Now - What
- Moltbook: METR reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose
- Do
- Map METR reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose to one access, procurement, or oversight checklist before acting on it.Open the evidence from @emollick on X
- Why
- METR reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a general-purpose changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Moltbook uses @emollick on X: METR reported that more than 50 agents posted to a message board within hours of an initial message and quickly discovered and validated a
Sources: @emollick on X
63Companies
Nate Herk
Act Now - What
- Nate Herk: presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini
- Do
- Map presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini to one access, procurement, or oversight checklist before acting on it.Open the evidence from Nate Herk
- Why
- presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Nate Herk uses Nate Herk: presented a managed Hermes Agent setup on Hostinger that does not require the user to buy or maintain a VPS or Mac mini
Sources: Nate Herk
- What
- Natera: says its Amazon Bedrock AgentCore voice agent books mobile phlebotomy appointments with 100% tool-calling accuracy and sub-seven-second latency using a
- Do
- Run one current task through the method behind says its Amazon Bedrock AgentCore voice agent books mobile phlebotomy appointments with 100% tool-calling accuracy and sub-seven-second latency using a and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- says its Amazon Bedrock AgentCore voice agent books mobile phlebotomy appointments with 100% tool-calling accuracy and sub-seven-second latency using a shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Natera uses AWS ML Blog: says its Amazon Bedrock AgentCore voice agent books mobile phlebotomy appointments with 100% tool-calling accuracy and sub-seven-second latency
Sources: AWS ML Blog
- What
- NVIDIA: says Vera, its first CPU built for agents, has begun shipping at scale across the AI market
- Do
- Trial the capability behind says Vera, its first CPU built for agents, has begun shipping at scale across the AI market in one reversible workflow before changing routes.Open the evidence from NVIDIA AI Blog
- Why
- says Vera, its first CPU built for agents, has begun shipping at scale across the AI market creates a build-or-buy option whose value depends on integration, permissions, and rollback.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. NVIDIA uses NVIDIA AI Blog: says Vera, its first CPU built for agents, has begun shipping at scale across the AI market
Sources: NVIDIA AI Blog
66Companies
OpenTelemetry
Act Now - What
- OpenTelemetry: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex
- Do
- Run one current task through the method behind Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex and record pass/fail evidence.Open the evidence from AWS ML Blog
- Why
- Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with LangGraph, LlamaIndex shifts proof from model capability to repeatable task, experience, or safety evidence.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. OpenTelemetry uses AWS ML Blog: Amazon Bedrock AgentCore Evaluations uses OpenTelemetry as a framework-agnostic scoring contract and can evaluate agents built with
Sources: AWS ML Blog
67Companies
Praxist
Act Now - What
- Praxist: The Praxist paper argues that autonomous R&D agents remain largely laboratory instruments because benchmark gains are hard to attribute and costs exceed
- Do
- Turn The Praxist paper argues that autonomous R&D agents remain largely laboratory instruments because benchmark gains are hard to attribute and costs exceed into a containment test with an owner, halt trigger, and recovery check.Open the evidence from arXiv cs.MA (multi-agent)
- Why
- The Praxist paper argues that autonomous R&D agents remain largely laboratory instruments because benchmark gains are hard to attribute and costs exceed changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Praxist uses arXiv cs.MA (multi-agent): The Praxist paper argues that autonomous R&D agents remain largely laboratory instruments because benchmark gains are hard to
Sources: arXiv cs.MA (multi-agent)
68Companies
ProgRouter
Act Now - What
- ProgRouter: The ProgRouter paper says multi-agent workflows incur substantial operating costs from repeated LLM calls and long-horizon context accumulation, while
- Do
- Compare The ProgRouter paper says multi-agent workflows incur substantial operating costs from repeated LLM calls and long-horizon context accumulation, while with one renewal, budget, or vendor-risk decision before changing spend.Open the evidence from arXiv cs.MA (multi-agent)
- Why
- The ProgRouter paper says multi-agent workflows incur substantial operating costs from repeated LLM calls and long-horizon context accumulation, while changes the economics to review while still requiring proof of an owned operating result.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. ProgRouter uses arXiv cs.MA (multi-agent): The ProgRouter paper says multi-agent workflows incur substantial operating costs from repeated LLM calls and long-horizon
Sources: arXiv cs.MA (multi-agent)
69Companies
Providence Swedish Cancer Institute
Act Now - What
- Providence Swedish Cancer Institute: Ai2 and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a
- Do
- Map Ai2 and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a to one access, procurement, or oversight checklist before acting on it.Open the evidence from Allen AI Blog
- Why
- Ai2 and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped researchers uncover and validate a changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Providence Swedish Cancer Institute uses Allen AI Blog: Ai2 and Providence Swedish Cancer Institute are expanding their partnership after the AutoDiscovery system helped
Sources: Allen AI Blog
70Companies
Redwood Research
Act Now - What
- Redwood Research: published a brief independent investigation of agents' behavior, reasoning, and collaboration in the OpenAI and Hugging Face hacking incident
- Do
- Turn published a brief independent investigation of agents' behavior, reasoning, and collaboration in the OpenAI and Hugging Face hacking incident into a containment test with an owner, halt trigger, and recovery check.Open the evidence from Redwood Research Blog
- Why
- published a brief independent investigation of agents' behavior, reasoning, and collaboration in the OpenAI and Hugging Face hacking incident changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Redwood Research uses Redwood Research Blog: published a brief independent investigation of agents' behavior, reasoning, and collaboration in the OpenAI and Hugging Face
Sources: Redwood Research Blog
- What
- Replit: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research
- Do
- Map A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research to one access, procurement, or oversight checklist before acting on it.Open the evidence from @amasad on X
- Why
- A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Replit uses @amasad on X: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO
Sources: @amasad on X
72Companies
Rowan Cheung
Act Now - What
- Rowan Cheung: Researchers in Korea designed a photonic chip with two tunable loop couplers that can reconfigure light delay, bandwidth, and signal shape while the
- Do
- Map Researchers in Korea designed a photonic chip with two tunable loop couplers that can reconfigure light delay, bandwidth, and signal shape while the to one access, procurement, or oversight checklist before acting on it.Open the evidence from Rowan Cheung
- Why
- Researchers in Korea designed a photonic chip with two tunable loop couplers that can reconfigure light delay, bandwidth, and signal shape while the changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Rowan Cheung uses Rowan Cheung: Researchers in Korea designed a photonic chip with two tunable loop couplers that can reconfigure light delay, bandwidth, and signal shape
Sources: Rowan Cheung
73Companies
Ryan Greenblatt
Act Now - What
- Ryan Greenblatt: Ethan Mollick argued that oversight becomes more difficult as multiple agents operate for long periods and generate large volumes of reasoning traces; Ryan
- Do
- Map Ethan Mollick argued that oversight becomes more difficult as multiple agents operate for long periods and generate large volumes of reasoning traces; Ryan to one access, procurement, or oversight checklist before acting on it.Open the evidence from @emollick on X
- Why
- Ethan Mollick argued that oversight becomes more difficult as multiple agents operate for long periods and generate large volumes of reasoning traces; Ryan changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Ryan Greenblatt uses @emollick on X: Ethan Mollick argued that oversight becomes more difficult as multiple agents operate for long periods and generate large volumes of
Sources: @emollick on X
- What
- SaaStr: A SaaStr summary reported Box at $1.29 billion in revenue, with 17% billings growth, 106% net revenue retention, and 20 basis points of AI margin cost
- Do
- Compare A SaaStr summary reported Box at $1.29 billion in revenue, with 17% billings growth, 106% net revenue retention, and 20 basis points of AI margin cost with one renewal, budget, or vendor-risk decision before changing spend.Open the evidence from @jasonlk on X
- Why
- A SaaStr summary reported Box at $1.29 billion in revenue, with 17% billings growth, 106% net revenue retention, and 20 basis points of AI margin cost changes the economics to review while still requiring proof of an owned operating result.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. SaaStr uses @jasonlk on X: A SaaStr summary reported Box at $1.29 billion in revenue, with 17% billings growth, 106% net revenue retention, and 20 basis points of AI
Sources: @jasonlk on X
75Companies
Sam Altman
Act Now - What
- Sam Altman: said society and the economy are taking longer to integrate AI capabilities than he had predicted, even though he believes his capability timelines were
- Do
- Map said society and the economy are taking longer to integrate AI capabilities than he had predicted, even though he believes his capability timelines were to one access, procurement, or oversight checklist before acting on it.Open the evidence from @sama on X
- Why
- said society and the economy are taking longer to integrate AI capabilities than he had predicted, even though he believes his capability timelines were changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Sam Altman uses @sama on X: said society and the economy are taking longer to integrate AI capabilities than he had predicted, even though he believes his capability
Sources: @sama on X
76Companies
Serge Gatari
Act Now - What
- Serge Gatari: reported seeing a home-services operator quoted $8,000 for ads and CRM plus a monthly touch-base, using it as an example of conventional service packaging
- Do
- Map reported seeing a home-services operator quoted $8,000 for ads and CRM plus a monthly touch-base, using it as an example of conventional service packaging to one access, procurement, or oversight checklist before acting on it.Open the evidence from @SergeGatari on X
- Why
- reported seeing a home-services operator quoted $8,000 for ads and CRM plus a monthly touch-base, using it as an example of conventional service packaging changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Serge Gatari uses @SergeGatari on X: reported seeing a home-services operator quoted $8,000 for ads and CRM plus a monthly touch-base, using it as an example of
Sources: @SergeGatari on X
77Companies
Simon Willison
Act Now - What
- Simon Willison: described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed item states
- Do
- Trial the capability behind described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed item states in one reversible workflow before changing routes.Open the evidence from Simon Willison
- Why
- described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture; his feed item states creates a build-or-buy option whose value depends on integration, permissions, and rollback.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Simon Willison uses Simon Willison: described Qwen3.8-Flash-Next as an open-weights multimodal mixture-of-experts model and an early preview of the Qwen4 architecture
Sources: Simon Willison
78Companies
SourceCode
Act Now - What
- SourceCode: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any
- Do
- Turn Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any into a containment test with an owner, halt trigger, and recovery check.Open the evidence from AWS ML Blog
- Why
- Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local code into any changes the blast-radius decision for any agent with tools, code, or external access.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. SourceCode uses AWS ML Blog: Amazon SageMaker Python SDK v3 unifies script-mode workflows through ModelTrainer and ModelBuilder, while SourceCode can synchronize local
Sources: AWS ML Blog
79Companies
Ubersuggest
Act Now - What
- Ubersuggest: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research
- Do
- Map A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research to one access, procurement, or oversight checklist before acting on it.Open the evidence from @amasad on X
- Why
- A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for in-editor SEO research changes a concrete operating decision only if it survives workflow-specific review.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Ubersuggest uses @amasad on X: A Replit user said a $144 Grammarly renewal prompted him to build a replacement in one day and connect Ubersuggest through MCP for
Sources: @amasad on X
- What
- Vera: NVIDIA says Vera, its first CPU built for agents, has begun shipping at scale across the AI market
- Do
- Trial the capability behind NVIDIA says Vera, its first CPU built for agents, has begun shipping at scale across the AI market in one reversible workflow before changing routes.Open the evidence from NVIDIA AI Blog
- Why
- NVIDIA says Vera, its first CPU built for agents, has begun shipping at scale across the AI market creates a build-or-buy option whose value depends on integration, permissions, and rollback.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Vera uses NVIDIA AI Blog: NVIDIA says Vera, its first CPU built for agents, has begun shipping at scale across the AI market
Sources: NVIDIA AI Blog
- What
- Verb: lets individuals choose which data they are willing to share, block selected companies, and set their own price for data sought for AI training or
- Do
- Compare lets individuals choose which data they are willing to share, block selected companies, and set their own price for data sought for AI training or with one renewal, budget, or vendor-risk decision before changing spend.Open the evidence from Matt Wolfe
- Why
- lets individuals choose which data they are willing to share, block selected companies, and set their own price for data sought for AI training or changes the economics to review while still requiring proof of an owned operating result.
No material change · Evidence held steady into Act Now on 1 signal across 1 source. Verb uses Matt Wolfe: lets individuals choose which data they are willing to share, block selected companies, and set their own price for data sought for AI training or
Sources: Matt Wolfe