GenAI PM
person11 mentions· Updated Aug 16, 2026

Carl Vellotti

AI practitioner sharing workflow patterns for building custom skills with Claude. The note focuses on turning an initial session into a reusable specification.

Key Highlights

  • Carl Vellotti is known for adapting PM workflows and artifacts so AI systems can reliably consume and act on them.
  • He showed how PRDs can be reformatted with explicit instructions for models, including what to quote and what to tell human stakeholders.
  • His work with Claude Code spans reusable PM setups, tool integrations, writing-voice controls, and browser-based automation.
  • He emphasizes building AI systems from real workflow friction rather than over-engineering setups before they are needed.
  • His idea of a 'team AI OS' frames AI as shared operating infrastructure for product and engineering teams.

Carl Vellotti

Overview

Carl Vellotti is a product-management educator and AI workflow thinker known for showing how PM work can be redesigned for AI-native execution. Across workshops, demos, and operating-system-style setups for Claude Code, he has documented how product managers can move from using AI for one-off drafting to building repeatable systems for specs, communication, research, and execution.

He matters to AI Product Managers because his examples are unusually concrete: instrumenting PM routines with `CLAUDE.md`, connecting AI tools to systems like Slack, Jira, Figma, and Google Docs, and even reformatting PRDs so AI models know what to quote, how to summarize risk, and what to escalate to humans. His work illustrates a broader shift in PM artifacts: documents are no longer written only for people, but increasingly for AI-human collaboration loops.

Key Developments

  • 2026-01-04: Demonstrated the Claude Code for Chrome extension handling a customer-service workflow end to end—navigating web pages, taking screenshots, and interacting with UI elements to resolve a refund dispute. This showed the practical potential of browser-based AI agents for routine operational tasks.
  • 2026-02-11: Alongside Aman Khan, shared a full Claude Code workspace setup for PMs, including configuration files and exact prompts, making AI-assisted PM environments more reproducible.
  • 2026-02-17: Released a Claude Code skill file designed to learn a user’s writing voice and flag AI-sounding phrasing after a single use, emphasizing personalization and quality control in AI-generated PM outputs.
  • 2026-03-03: Demoed four ways to connect Claude Code to product tools—direct APIs, MCP servers, CLI tools, and a Chrome extension—with integrations spanning Jira, Figma, Slack, and Google Docs. He highlighted CLI tools as a low-context, low-overhead option.
  • 2026-03-15: His Claude Code course was recommended as pre-work for teams adopting coding agents, suggesting his materials became part of onboarding and change-management for AI-enabled product teams.
  • 2026-03-18: Used Claude to analyze a week of Slack messages and meeting transcripts, identify inefficiencies such as redundant updates and unnecessary meetings, and codify PM routines in a `CLAUDE.md` file.
  • 2026-04-22: Shared a lesson from over-optimizing unused Claude Code setups: build systems from actual recurring friction rather than speculative planning, and automate only after manually repeating a workflow several times.
  • 2026-05-01: Reported tripling individual output with AI, including using Claude Code to write 14 PRDs in one week, while also noting that meeting overhead grew from 6 to 19 hours without improving a two-week shipping cycle.
  • 2026-05-09: His workshop reached #1 on Maven, where he described the evolution from early “vibe coding” prototypes to engineers using AI tools for specs and documentation, framing the shift as a “team AI OS.”
  • 2026-08-06: Described reformatting PRDs explicitly for AI consumption after observing that no human had read them since March. He added instructions for what models should quote, how they should summarize, and even “What to tell your human.” He also said that specifying which risks to soften in summaries increased adoption of risky features 3x and helped shape staffing discussions.

Relevance to AI PMs

1. Design artifacts for AI readers, not just human readers. Vellotti’s PRD example is a practical template for AI PMs: include instructions on what to extract, what to quote, how to summarize risks, and what should be escalated to a human decision-maker.

2. Codify PM operating context into reusable system files. His use of `CLAUDE.md`, skill files, and full workspace setups shows how PMs can convert tacit preferences, routines, and writing standards into persistent context that improves AI reliability over time.

3. Connect AI to the real PM toolchain. His demos across Slack, Jira, Figma, Google Docs, CLI tools, and browser automation show that AI value compounds when models can act across the systems where product work already lives, rather than staying confined to a chat window.

Related

  • Claude / AI models: Central to Vellotti’s experiments in PM automation, document generation, and workflow analysis.
  • Claude Code: The main execution environment featured in his setups, demos, and course materials.
  • CLAUDE.md / ClaudeMD: Represents his approach to encoding PM routines and context for repeatable AI use.
  • Jira, Figma, Slack, Google Docs: Core PM systems he connected to Claude Code to make AI outputs operational inside existing workflows.
  • Aman Khan: Collaborated with Vellotti on a reusable Claude Code setup for PMs.
  • Peter Yang: Amplified and referenced Vellotti’s Claude Code integration patterns.
  • Claude Code for Chrome / browser automation: Tied to his demonstrations of end-to-end agentic task execution in web environments.
  • PRDs: A major theme in his work, especially the shift from human-only specs to AI-optimized product documents.
  • Cursor: Part of the earlier “vibe coding” phase that Vellotti contrasts with more mature AI-enabled documentation and execution workflows.
  • Team AI OS: His framing for how AI tools evolve from personal assistants into shared operating systems for product and engineering teams.
  • Dave: Mentioned in connection with Vellotti prompting Dave’s AI to evaluate his reformatted PRDs as “unusually well-reasoned.”

Newsletter Mentions (11)

2026-08-16
Carl Vellotti shared a process for developing a Claude skill: complete one initial run with Claude and no skill, then have Claude codify the session as the specification.

#4 in 🥞 Carl Vellotti shared a process for developing a Claude skill: complete one initial run with Claude and no skill, then have Claude codify the session as the specification. For text workflows, he suggests editing markdown output and storing lessons from those edits in a corrections folder the skill reads on later runs.

2026-08-06
after saying no human had read his PRDs since March, he reformatted them with instructions for AI models—including what to quote and “What to tell your human”—and prompted Dave’s AI to call them “unusually well-reasoned.”

#18 in 🥞 Carl Vellotti recapped how, after saying no human had read his PRDs since March, he reformatted them with instructions for AI models—including what to quote and “What to tell your human”—and prompted Dave’s AI to call them “unusually well-reasoned.” He says he began specifying which risks to soften in summaries last month, adoption of risky features rose 3x, and discussions about two more engineers began in October before he received two more engineers.

2026-05-09
in 🥞 Carl Vellotti ’s workshop just hit #1 on Maven. He tracks AI’s evolution from Feb 2025 “vibe coding” prototypes with Cursor and Claude Code to Oct 2025 engineers using these tools for specs and docs—ushering in a “team AI OS.”

in 🥞 Carl Vellotti ’s workshop just hit #1 on Maven. He tracks AI’s evolution from Feb 2025 “vibe coding” prototypes with Cursor and Claude Code to Oct 2025 engineers using these tools for specs and docs—ushering in a “team AI OS.”

2026-05-01
Carl Vellotti tripled individual output with AI—using Claude Code to write 14 PRDs in one week—but daily standups, weekly retros, and monthly governance reviews ballooned meeting time from 6 to 19 hours without reducing the two-week ship cycle.

#16 in Carl Vellotti tripled individual output with AI—using Claude Code to write 14 PRDs in one week—but daily standups, weekly retros, and monthly governance reviews ballooned meeting time from 6 to 19 hours without reducing the two-week ship cycle.

2026-04-22
Carl Vellotti admits he wasted weekends perfecting unused Claude Code setups and shares how to avoid this: let your system grow from real friction (not upfront planning) and only automate tasks after repeating them manually several times.

#21 in 🥞 Carl Vellotti admits he wasted weekends perfecting unused Claude Code setups and shares how to avoid this: let your system grow from real friction (not upfront planning) and only automate tasks after repeating them manually several times.

2026-03-18
Carl Vellotti used Anthropic’s Claude to parse a week of his Slack messages and meeting transcripts, identify inefficiencies (like unnecessary meetings and redundant status updates), and codify his PM routines in a CLAUDE.md file.

#22 𝕏 Tal Raviv uses Anthropic’s Claude to automate his core PM workflows—drafting specs, prioritizing backlogs, and generating roadmaps—arguing that Claude now outperforms him so fully he might as well “give away his Legos.” #23 in Carl Vellotti used Anthropic’s Claude to parse a week of his Slack messages and meeting transcripts, identify inefficiencies (like unnecessary meetings and redundant status updates), and codify his PM routines in a CLAUDE.md file.

2026-03-15
#4 in Marc Baselga found that teams adopt coding agents best by starting with one specific workflow and assigning Carl Vellotti’s CC Course as pre-work to prevent overwhelm and build a solid foundation.

Today's top 12 insights for PM Builders, ranked by relevance from X, LinkedIn, and Blogs. Ramp Ships 500+ Features Using Claude Code #4 in Marc Baselga found that teams adopt coding agents best by starting with one specific workflow and assigning Carl Vellotti’s CC Course as pre-work to prevent overwhelm and build a solid foundation.

2026-03-03
#10 in 🥞 Carl Vellotti demos four ways to connect Claude Code (Direct APIs, MCP servers, CLI tools, Chrome extension) to tools like Jira, Figma, Slack and Google Docs—highlighting CLI tools as the zero-token, zero-context “hidden gem.” Also covered by: @Peter Yang

#10 in 🥞 Carl Vellotti demos four ways to connect Claude Code (Direct APIs, MCP servers, CLI tools, Chrome extension) to tools like Jira, Figma, Slack and Google Docs—highlighting CLI tools as the zero-token, zero-context “hidden gem.” Also covered by: @Peter Yang #11 in Peter Yang shares Carl’s top five Claude Code integrations—Google Workspace for meeting prep, Linear for ticket creation, Slack for status updates, and Reddit for monitoring. Also covered by: @Peter Yang

2026-02-17
in Carl Vellotti released a Claude Code skill file that permanently learns your writing voice and auto-flags AI-isms after a single use, with simple paste-in setup instructions.

#9 in Carl Vellotti released a Claude Code skill file that permanently learns your writing voice and auto-flags AI-isms after a single use, with simple paste-in setup instructions. Join his 24,000+ PM Builders community at fullstackpm.com/subscribe. #10 📝 Simon Willison Rodney and Claude Code - Simon describes using Anthropic's Claude Code via native desktop apps (iPhone and Mac) and highlights a useful feature: Claude Desktop can display images it's "viewing" using a Read tool, providing visual previews while the agent works.

2026-02-11
Carl Vellotti and Aman Khan reveal their complete Claude Code space setup for PMs. They include all configuration files and exact prompts so you can replicate the workspace instantly.

#6 in Carl Vellotti and Aman Khan reveal their complete Claude Code space setup for PMs. They include all configuration files and exact prompts so you can replicate the workspace instantly.

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