“#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.”

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

“#2 𝕏 There's An AI For That launched Context Mode, piping MCP tool output into a SQLite database so Claude can query it like a DB, slashing logs and GitHub payloads by 98%.”

#2 𝕏 There's An AI For That launched Context Mode, piping MCP tool output into a SQLite database so Claude can query it like a DB, slashing logs and GitHub payloads by 98%.

“claire vo 🖤 lays out a concise glossary of AI agent architecture—defining message, agent (local vs. cloud), sandbox, subagent, tool, hook, connector, MCP, skill, API, and CLI—to clarify how LLMs with tools and connectors interact and execute tasks.”

#9 𝕏 claire vo 🖤 lays out a concise glossary of AI agent architecture—defining message, agent (local vs. cloud), sandbox, subagent, tool, hook, connector, MCP, skill, API, and CLI—to clarify how LLMs with tools and connectors interact and execute tasks.

“#14 𝕏 LlamaIndex 🦙 rebuilt the LlamaParse MCP server for seamless document processing—parse to clean markdown, classify files, split long docs, and upload via URL or browser from any MCP-compatible client.”

#14 𝕏 LlamaIndex 🦙 rebuilt the LlamaParse MCP server for seamless document processing—parse to clean markdown, classify files, split long docs, and upload via URL or browser from any MCP-compatible client. #15 𝕏 Santiago demos the MCPC CLI tool (github.com/apify/mcpc).

“#9 📝 Claude Code Blog Building agents that reach production systems with MCP - A blog post about techniques and considerations for building AI agents that integrate with and reach production systems using MCP.”

#9 📝 Claude Code Blog Building agents that reach production systems with MCP - A blog post about techniques and considerations for building AI agents that integrate with and reach production systems using MCP. It covers product and platform context for deploying agents in real-world environments.

“bolt.new launched the Bolt GitHub Connector (MCP), letting you copy-paste components from any open-source repo and even port entire codebases across languages—see a Swift project transform into TypeScript at 5:36.”

#5 𝕏 bolt.new launched the Bolt GitHub Connector (MCP), letting you copy-paste components from any open-source repo and even port entire codebases across languages—see a Swift project transform into TypeScript at 5:36.

“#5 in Dharmesh Shah warns that simply wrapping APIs in MCPs or CLIs isn’t enough for the agentic era. B2B software needs purpose-built AUX design—ergonomic interfaces that let programmatic agents actually use your product.”

#5 in Dharmesh Shah warns that simply wrapping APIs in MCPs or CLIs isn’t enough for the agentic era. B2B software needs purpose-built AUX design—ergonomic interfaces that let programmatic agents actually use your product.

“in Colin Matthews reports that only ~20 of 51 teams importing design systems into AI prototyping tools use Figma as their source of truth, with the remainder on GitHub, Storybook or MCP.”

#9 in Colin Matthews reports that only ~20 of 51 teams importing design systems into AI prototyping tools use Figma as their source of truth, with the remainder on GitHub, Storybook or MCP. #10 𝕏 LlamaIndex 🦙 introduces Extract v2 with simplified tiers, pre-saved extraction configurations, and fully configurable document parsing for more powerful, streamlined data extraction.

“#8 𝕏 Thariq is excited about Figma’s new MCP, starting with a rough Figma sketch that Claude Code fleshes out into a polished design which he then iterates on before final review.”

#4 𝕏 Thariq sketched a new grocery-list feature in Figma and then prompted an AI to convert the mockup into his app’s style while adding extra components. #5 𝕏 Peter Yang suggests that any account replying to over a dozen posts within five seconds is likely AI-generated. #6 in Thomas Hendrickx recommends Claire Vo’s How I AI YouTube series for its hands-on, real-world AI workflows—product builds, system setups like Teresa Torres’ Obsidian setup—rather than generic demos. #7 𝕏 Lenny Rachitsky : Claire Vo built 9 OpenClaw agents across 3 Mac Minis to automate sales outreach (replacing a 10 hr/week rep), family scheduling, podcast prep, homework help, and course project management. #8 𝕏 Thariq is excited about Figma’s new MCP, starting with a rough Figma sketch that Claude Code fleshes out into a polished design which he then iterates on before final review. #9 𝕏 There's An AI For That unveiled upgraded autonomous bots that carry up to 25 kg (55 lb), clear 30 cm (12 in) obstacles, mount heavier payloads like micro-missiles and grenade launchers, and use a “collective brain” for real-time data sharing and coordinated action.

“Anthropic releases Claude Code channels - We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord.”

#1 𝕏 Anthropic releases Claude Code channels - We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone. #2 📝 OpenAI News OpenAI to acquire Astral - OpenAI announces its intent to acquire Astral to enhance its capabilities, bringing together teams and technology to accelerate product development and research.