“#6 𝕏 Harrison Chase highlights LangChain’s new community middleware page, showcasing agent middleware as a powerful way to tailor agent harnesses to specific use cases.”

#6 𝕏 Harrison Chase highlights LangChain’s new community middleware page, showcasing agent middleware as a powerful way to tailor agent harnesses to specific use cases. He’s inviting developers to share what they’re building with these middleware integrations.

“Harrison Chase explains how to power a continual agent improvement loop with Langsmith, using trace-centered iteration from LangChain’s “agent improvement loop” guide.”

𝕏 Harrison Chase explains how to power a continual agent improvement loop with Langsmith, using trace-centered iteration from LangChain’s “agent improvement loop” guide.

“Harrison Chase reports Jensen Huang’s Interrupt fireside on enterprise agents, unveiling a LangChain x NVIDIA partnership and launching Deep Agents powered by Nemotron models via the NVIDIA Agent Toolkit.”

Today's top 25 insights for PM Builders, ranked by relevance from X, LinkedIn, YouTube, and Blogs. Alibaba Launches Qwen3.5-Omni: Builds Websites From Video #1 𝕏 Qwen unveiled Qwen3.5-Omni, a native omni-modal AGI that understands text, image, audio and video and features “Audio-Visual Vibe Coding” to instantly build websites or games from a vision prompt. Offline it offers script-level captioning, outperforms Gemini-3. #2 in Dharmesh Shah reports that OpenAI has launched Codex support for Claude Code—extending ChatGPT subscriptions into JetBrains, Xcode, OpenCode, Pi and more. #3 𝕏 Claude launched “Claude Code,” letting the AI open your apps, navigate UIs, and test what it built—all from the CLI. It’s now in research preview on Pro and Max plans. #4 𝕏 Harrison Chase reports Jensen Huang’s Interrupt fireside on enterprise agents, unveiling a LangChain x NVIDIA partnership and launching Deep Agents powered by Nemotron models via the NVIDIA Agent Toolkit. #5 𝕏 Guillermo Rauch launched Opus 4.5, ushering in agent-driven coding, and shared early “agenting responsibly” guidance to temper LLM overconfidence while prioritizing security, durability, and availability. #6 𝕏 Harrison Chase rebuilt LangChain’s GTM agent on Deep Agents and DeeplineCLI, automating lead enrichment, outreach, and conversion workflows. #7 𝕏 Teresa Torres adds a PreToolCall hook on ExitPlanMode to block its default tool call and trigger her custom plan skill instead. #8 𝕏 Teresa Torres reports that Zapier’s core automation has degraded—zaps often fail—and she now asks Claude to build a custom webhook listener for more reliable triggers and error handling. She’s also moving off Airtable due to similar quality issues. #9 𝕏 Santiago unveils Pokee_AI’s zero-setup agent platform—instant signup access to sandboxed AI execution with role-based access control, encrypted credential vaults, long context memory, and 70% lower token consumption than OpenClaw. #10 𝕏 claire vo 🖤 launched “Gridley’s Anti-System for Automating Life with Claude” and shared a full step-by-step guide. Find the detailed walkthrough on the @chatprd AI blog. #11 ▶️ How to turn Claude code into your personal life operating system | Hilary Gridley How I AI Podcast Configuring Claude Code in the macOS terminal to automate life admin by capturing to-dos via an iPhone back-tap shortcut, storing context in local markdown files, and running a custom “plan my day” workflow that schedules events to Google Calendar and logs daily activities. The iPhone shortcut uses Apple Shortcuts’ “Dictate Text” action triggered by Accessibility > Touch > Back Tap > Double Tap to append spoken items (e.g., “reschedule pediatrician appointment”) into a reminders inbox markdown file. Claude Code is installed by copying the install line from the Claude docs into the terminal, then launched with the “claude” command to read and edit context files (e.g., reminders.md, preferences.md) in a dedicated folder. The “plan my day” Claude Code command pulls tasks from reminders.md, scheduling preferences learned in preferences.md (e.g., pumping windows, childcare), and existing Google Calendar events, then creates new 🦛-tagged calendar slots (e.g., a 10-minute “make post office appointment” for a baby passport) and writes a daily note comparing planned vs actual tasks. #12 ▶️ Stop Vibe Coding. Start Getting Customers. Greg Isenberg Greg Isenberg outlines seven distribution strategies for AI-built products, including using the OpenAI MCP protocol to build MCP servers that achieved 150+ installations in 30 days with zero ad spend, leveraging programmatic SEO to spin up 10,000 pages in 48 hours, and acquiring niche newsletters for $5,000–$20,000. 200,000 new vibe coding projects are launched daily on Lovable An MCP server built via the OpenAI MCP protocol secured over 150 installations in 30 days at $0 ad spend in a fintech use case A 10,000-subscriber niche newsletter can be purchased for $5,000–$20,000 through platforms like Deuce.com #13 𝕏 clem 🤗 warns that inadequate tooling and poor fine-tuning—not the capacity of smaller local models—are behind most deployment failures. #14 📝 Simon Willison Georgi Gerganov on why it's hard to find local models that work well with coding agents - Georgi Gerganov explains that the main problems with local models stem from fragility across a long chain of components (harness, chat templates, prompts, inference) developed by different parties, making reliable behavior difficult to achieve. Even if individual pieces seem to work, subtle breakages can exist elsewhere in the stack. #15 in Colin Matthews reveals that AI agents actually don’t retain memory beyond each prompt’s context window and can be built without specialized frameworks by simply looping LLM API calls. #16 in e Carl Vellotti demos the full Claude Code OS in his third deep-dive with Aakash Gupta, after the first two episodes crossed 1M+ views. #17 𝕏 Ali Ghodsi echoes Jeff Dean that legacy, human-paced tools bottleneck AI agents. He introduces Lakebase Postgres, offering instant branching, snapshots, and sub-second auto-scaling—orders of magnitude faster than traditional databases. #18 📝 Doug Turnbull Stop evaluating search with queries - Doug argues that traditional query-based evaluation of search is flawed and recommends using judgment lists and transformed clickstream data to produce more reliable evaluation labels. This approach better captures result relevance than treating queries as the sole evaluation unit. #19 𝕏 clem 🤗 argues that as no-code tools make app building ubiquitous, true differentiation comes from training, optimizing and running your own AI models. #20 in Peter Yang highlights how Jenny, Claude’s design lead, uses Cowork to auto-summarize user feedback into a weekly product-priorities deck shared via Slack and maintains a simple folder-based “memory system” to keep Claude’s outputs up to date. #21 𝕏 claire vo 🖤 dives into how @yourgirlhils scripts Claude Code to build a personal productivity OS—automating tasks, managing routines, and prepping meetings—in a 52-minute deep dive. #22 𝕏 Lenny Rachitsky highlights Claire Vo’s "Sage," an OpenClaw-powered bot that automates project management and weekly LinkedIn reminders for her Maven course. It keeps her on track for launch without the need to hire ops or marketing staff. #23 𝕏 There's An AI For That launched SureThing, an AI agent that remembers your voice, goals and workflows and acts across 1,000+ apps. It features persistent memory that sharpens over time and serves as a cloud-first OpenClaw alternative. #24 𝕏 Peter Yang confirms that @cursor_ai works flawlessly in China with every model type. #25 𝕏 Qwen demos a fresh Audio-Visual Vibe Coding system, turning sound inputs into synchronized visual effects in real time. Found this valuable? Share it with another PM - they can subscribe at genaipm.com Unsubscribe • Switch to Weekly

“#4 𝕏 Harrison Chase points to Vic’s LangChain Agent Evaluation Readiness Checklist as a go-to, step-by-step guide for taking AI agents into production.”

#4 𝕏 Harrison Chase points to Vic’s LangChain Agent Evaluation Readiness Checklist as a go-to, step-by-step guide for taking AI agents into production.

“#25 𝕏 Guillermo Rauch reports that almost every internal SaaS tool at Vercel has been replaced with AI-generated UIs and autonomous agents built using Next.js, the Vercel AI SDK, and LangChain.”

#25 𝕏 Guillermo Rauch reports that almost every internal SaaS tool at Vercel has been replaced with AI-generated UIs and autonomous agents built using Next.js, the Vercel AI SDK, and LangChain. Found this valuable? Share it with another PM - they can subscribe at genaipm.com Unsubscribe • Switch to Weekly

“Santiago notes that billions of dollars in R&D are being invested in AI-driven UI innovation and spotlights Shadify—a generative UI tool built on ShadCN, LangChain, and CopilotKit for AI-generated React interfaces.”

#7 𝕏 Santiago notes that billions of dollars in R&D are being invested in AI-driven UI innovation and spotlights Shadify—a generative UI tool built on ShadCN, LangChain, and CopilotKit for AI-generated React interfaces.

“Harrison Chase benchmarked LangChain skills to assess their real-world impact, sharing performance figures and actionable insights.”

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 🇺🇸 #22 𝕏 Harrison Chase benchmarked LangChain skills to assess their real-world impact, sharing performance figures and actionable insights.

“Harrison Chase announced LangChain OSS Skills—installable modules for LangChain, langgraph, and DeepAgents that provide prebuilt agent functionalities to accelerate workflow development.”

#17 𝕏 Harrison Chase announced LangChain OSS Skills—installable modules for LangChain, langgraph, and DeepAgents that provide prebuilt agent functionalities to accelerate workflow development.

“Harrison Chase walked through LangSmith’s new AI-agent debugging tools using a Langchain deepagents example—showing how to trace and tweak tool calls (Python REPL, vector DB, memory) and introspect step-by-step reasoning.”

LangChain is referenced as the context for the LangSmith debugging walkthrough.

“Harrison Chase launched agent-debugger, a Textual UI terminal debugger for LangGraph/LangChain agents that unifies agent-level visibility (state, messages, tool calls, store snapshots, semantic breakpoints) with Python-level debugging (line breakpoints, stepping, stack, local...”

GenAI PM Daily February 18, 2026 GenAI PM Daily Today's top 25 insights for PM Builders, ranked by relevance from X, Blogs, YouTube, and LinkedIn. Anthropic Launches Claude Sonnet 4.6 #8 𝕏 Harrison Chase launched agent-debugger, a Textual UI terminal debugger for LangGraph/LangChain agents that unifies agent-level visibility (state, messages, tool calls, store snapshots, semantic breakpoints) with Python-level debugging (line breakpoints, stepping, stack, local... #13 𝕏 Harrison Chase warns that understanding real‐world usage of your production agent is tough but crucial. LangSmith Insights (from LangChain) solves this by surfacing detailed user interaction analytics so you can continually improve the agent experience. #12 𝕏 Philipp Schmid picks ACP as his dark-horse contender to explode next, noting you can now effortlessly spin up an ACP server for any deep agent via Zed’s Agent Client Protocol & LangChain integration.