“#1 𝕏 Jason Zhou launched `/goal` support in CodeX and Hermes agents for one-step autonomous coding, advising use of interview mode, clear stop conditions, and a goal-buddy to manage state and goal files.”

GenAI PM Daily May 10, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 11 insights for PM Builders, ranked by relevance from X, Blogs, and LinkedIn. PromptLayer’s multi-step agent evaluation framework #1 𝕏 Jason Zhou launched `/goal` support in CodeX and Hermes agents for one-step autonomous coding, advising use of interview mode, clear stop conditions, and a goal-buddy to manage state and goal files. #2 📝 PromptLayer Blog What Is Agent Evaluation? A Practical Guide for AI Teams - Agent evaluation tests whether an AI agent reliably completes tasks across real inputs, edge cases, and new versions by scoring not just final outputs but multi-step behavior via black-box, trajectory, and component-level evaluations, using metrics like task completion rate, tool selection accuracy, unsupported-claim rate, latency/cost per step, and regression pass rate. PromptLayer offers tracing with span-level context, reusable datasets, batch evaluations, backtesting, regression testing, automated evaluation triggers on new prompt versions, and flexible pipelines including code execution, human input, conversation simulation, regex checks, and LLM assertions. #3 in Udi Menkes built his new product’s entire data flow in a single interactive HTML file—complete with diagrams, in-page navigation, and color-coded complexity—letting his team understand it in minutes instead of hours. #4 𝕏 Garry Tan suggests diagramming your AI agent codebases and architecture in plain ASCII, then relentlessly questioning each component to clarify design and accelerate product development. #5 𝕏 Boris Cherny says Claude Code’s switch to a native installer means npm-only stats undercount its real usage. On Thursday it hit its second-highest signup day ever with 15× growth since Jan 1—now you can ask Claude to debug your SQL. #6 𝕏 Boris Cherny is enhancing Claude Code’s UX for snappier performance and adding debug logs so users can self-serve hang diagnostics. #7 𝕏 Harrison Chase calls LangSmith an org-wide platform for building AI agents that speeds up cross-functional collaboration and tightens feedback loops. #8 𝕏 Santiago showcases a step-by-step guide for constructing Python-powered multi-agent systems from scratch, leveraging MCP and A2A patterns to incrementally add complexity and enable collaborative AI agents. #9 𝕏 Garry Tan spends $2K/mo on Openclaw AI tokens to turbocharge product development and startup insights. He’s “tokenmaxxing” now with a goal to make these capabilities affordable for everyone in 18 months. #10 𝕏 Harrison Chase argues that treating AI agents as systems to measure and iteratively improve isn’t just a technical challenge—it demands intentional human collaboration and team processes. #11 in Peter Yang warns that unedited AI-generated markdown can compound small errors over time—what starts as 5% “slop” quickly balloons into an overwhelming pile of confusing, unverified content. Found this valuable? Share it with another PM - they can subscribe at genaipm.com Unsubscribe • Switch to Weekly

“OpenAI Codex unveils /goal stateful loop command #1 𝕏 Jason Zhou unveils Codex’s new /goal command, introducing a stateful Ralph-loop that iteratively sets goals, tests, self-corrects, and repeats until the mission is complete or the budget runs out.”

GenAI PM Daily May 04, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 12 insights for PM Builders, ranked by relevance from X, YouTube, and LinkedIn. OpenAI Codex unveils /goal stateful loop command #1 𝕏 Jason Zhou unveils Codex’s new /goal command, introducing a stateful Ralph-loop that iteratively sets goals, tests, self-corrects, and repeats until the mission is complete or the budget runs out. #2 ▶️ Everything You Need to Know About Context Engineering in 40 Minutes | Ravi Mehta Peter Yang Use 3-layer context engineering (functional spec, Figma wireframe, JSON data enriched via Claude and a custom Cloud Code MCP server) to generate a high-fidelity music genre detail page prototype in Reforge Build that can be instantly re-themed by swapping the data.json file.

“#18 𝕏 Jason Zhou reveals three lesser-known Claude Code setup tricks—beyond the usual `npm install`—including the discovery and use of the hidden `.claude/rules/` directory.”

#18 𝕏 Jason Zhou reveals three lesser-known Claude Code setup tricks—beyond the usual `npm install`—including the discovery and use of the hidden `.claude/rules/` directory. #19 𝕏 Harrison Chase predicts that by 2026 closed-model costs will be prohibitively high and he’s optimizing deepagents for peak performance on OSS models.

“Jason Zhou built an AI agent that reads a support ticket and autonomously submits a PR in just 10 minutes, instantly automating customer crediting.”

#10 𝕏 Jason Zhou built an AI agent that reads a support ticket and autonomously submits a PR in just 10 minutes, instantly automating customer crediting. #11 𝕏 claire vo 🖤 GPT-5.5 ran a 6-hour autonomous validation, migrated 2M+ records with just one unhandled exception, closed all security issues for a zero-issue pen test, and even reverse-engineered a Divoom MiniToo Bluetooth speaker’s image encoding.

“#7 𝕏 Jason Zhou built a Crewlet agent that detected referral farming by spotting a spike in temp email signups and tracing them to one referral link in the database.”

#7 𝕏 Jason Zhou built a Crewlet agent that detected referral farming by spotting a spike in temp email signups and tracing them to one referral link in the database. He then flagged the fake accounts and reset their credits via a SQL script.

“Jason Zhou launched direct Codex integration in Claude Code, enabling CC code reviews via four simple plugin commands—/plugin marketplace add openai/codex-plugin-cc, /plugin install codex@openai-codex, /reload-plugins, and /codex:setup.”

𝕏 Jason Zhou launched direct Codex integration in Claude Code, enabling CC code reviews via four simple plugin commands—/plugin marketplace add openai/codex-plugin-cc, /plugin install codex@openai-codex, /reload-plugins, and /codex:setup.

“#3 𝕏 Jason Zhou highlights RTK (Rust Token Killer), an open-source tool that cuts Claude Code tokens by up to 60% by stripping noise, merging repeated content, and removing blank lines and progress bars.”

#3 𝕏 Jason Zhou highlights RTK (Rust Token Killer), an open-source tool that cuts Claude Code tokens by up to 60% by stripping noise, merging repeated content, and removing blank lines and progress bars.

“Jason Zhou says December 2025’s LLM breakthrough—fueled by memory environments, verification loops and atomic tooling—enables always-on, long-running autonomous agents.”

GenAI PM Daily March 06, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 25 insights for PM Builders, ranked by relevance from Blogs, X LinkedIn, and YouTube. OpenAI Introduces GPT-5.4 Model #1 📝 OpenAI News Introducing GPT-5.4 - Announcement of GPT-5.4 as a new product release, highlighting improvements and new capabilities over prior models. The post introduces features and potential applications of GPT-5.4. Also covered by: @There's An AI For That , @Kevin Weil 🇺🇸 #16 𝕏 Jason Zhou says December 2025’s LLM breakthrough—fueled by memory environments, verification loops and atomic tooling—enables always-on, long-running autonomous agents.

“𝕏 Jason Zhou hails Anthropic’s advanced tool calling—featuring programmatic invocation, dynamic filtering, built-in search and real-world use examples—as underrated gold in his quick 3-minute breakdown.”

GenAI PM Daily February 23, 2026 | Today's top 12 insights for PM Builders, ranked by relevance from X, LinkedIn, Blogs, and YouTube. Anthropic Launches Advanced Tool Calling #1 𝕏 Jason Zhou hails Anthropic’s advanced tool calling—featuring programmatic invocation, dynamic filtering, built-in search and real-world use examples—as underrated gold in his quick 3-minute breakdown. #8 𝕏 Jason Zhou shows that providing LLMs with concrete tool-use examples for complex tools with many optional fields and dependencies boosts JSON output accuracy from 72% to 90% in Anthropic’s benchmarks.

“Jason Zhou walks through configuring webMCP via HTML attributes or a React setup to instantly make websites agent-ready.”

#4 𝕏 Jason Zhou walks through configuring webMCP via HTML attributes or a React setup to instantly make websites agent-ready. He invites you to @aibuilderclub_ for a deeper breakdown and live walkthrough in his upcoming weekly call. Also covered by: @AI Jason #10 in Jason Zhou introduced WebMCP, a new Chrome 146 API that lets websites dynamically load and communicate with agents to perform page-specific actions, and shared steps to try it via Chrome Beta 146 and the WebMCP debugger tool.