Engineering
Feasibility, effort, technical risk
AI PM OS for product managers
Start from a working system — context, workflows, and review standards, without building your own AI stack.
Individual
$99
one-time · one PM
Setup call included
One-time payment · Instant download via Polar
Limited window: setup call included. I get the workspace open and skills loading — or email me within 30 days of purchase for a full refund. After this window, Individual stays $99 self-serve.
Used by individual PMs at these companies
Tap a layer to isolate · scroll to explode
What problem you're solving → who it's for → what's unique → competitive position. Produces a strategy kernel.
Transcript cleanup → JTBD extraction → insight clustering → hypothesis → experiment design.
Draft → strengths reviewer → flaws reviewer → revision loop. Builds a defensible PRD before your team finds the gaps.
Real Claude Code plugins you can install and use today. Email the download link — no newsletter signup.
You're using AI agents for live PM work — and the outputs still feel generic
ChatGPT and blank prompts don't know your product. AI PM OS starts from your company, goals, and constraints so drafts sound like your work.
You want stronger judgment and faster outputs without building a personal stack
243 skills, 11 workflows, and review subagents replace the hours you'd spend wiring your own system.
You're new in a PM seat and need a competent starting method this week
Run /start, pick one workflow, and ship a real artifact — strategy kernel, research synthesis, or PRD — without inventing a process from scratch.
You want AI speed without the slop
The system asks before it answers, walks the thinking, and keeps you accountable for the output. Faster drafts. Sharper judgment. Not autopilot.
You want a SaaS dashboard with logins and managed seats
AI PM OS is a Markdown workspace in your editor — files you own, not another admin console.
You want a course to watch and forget
This is where the work happens. Context files need your real product. Workflows need live decisions.
You won't use Claude Code, Codex, Cowork, or Cursor
AI PM OS is built for those editors. If that workflow isn't for you, this isn't the right tool.
You want frameworks explained, not applied on real work
This isn't a PM theory library. It applies the right framework to your situation. Study guides live elsewhere.
After checkout, Polar gives you an instant download of the complete workspace.
Open AI PM OS in Claude Code, Codex, Claude Cowork, or Cursor. All skills, knowledge, and context are live immediately.
Run /start once. Fill in your five context files. The OS is now calibrated to your actual situation — in about 5 minutes.
Describe your PM challenge naturally, or use a slash command. The right skill activates and guides the work.
PRDs, research notes, decisions, drill logs — everything you produce lives in Work/ and accumulates over time.
12 review agents you can invoke on any doc, plan, or decision — not locked to one workflow. A gut-check before stakeholder review, or a full stack when the stakes are higher.
Feasibility, effort, technical risk
Usability, flows, craft
Strategy fit and the so-what
Compliance, privacy, exposure
Evidence behind the claims
Attacks the weakest assumption
Would a real user care?
Names what the doc gets right
Finds gaps before your team does
Plus 3 orchestrators for longer multi-step runs.
Not a notes folder you fill once. PM OS captures as you work, grows a little each session, and recalls the right context when it matters — so knowledge compounds instead of living in scattered docs.
Capture
decisions & risks, as you work
Grow
one drip question per session
Recall
loaded before each workflow
Compound
every session sharpens the next
Drop an update in plain language. PM OS distills the decisions, risks, and stakeholders — and asks before anything touches your files.
/capture-memory · confirmation-gated · never silent
“Quick update: leadership killed mobile and moved us to retention.”
Same skills, same workflows. Lead with Claude Code, or bring whichever tools you already use.
New to the terminal setup? Read the Claude Code for product managers guide.
Autonomous terminal-first coding agent with advanced reasoning
Best for: PMs who want an autonomous agent for deeper, multi-file work.
Autonomous terminal-first coding agent with advanced reasoning
Best for: PMs who want an autonomous agent for deeper, multi-file work.
OpenAI agent inside the ChatGPT desktop app — no terminal required
Best for: PMs who want an agent in ChatGPT desktop without opening a terminal.
The same agentic engine as Claude Code — in the desktop app, no terminal required
Best for: PMs who want autonomous, multi-step work without touching a terminal.
AI-native IDE with the strongest Tab autocomplete in the market
Best for: PMs who prefer a familiar VS Code feel — still fully supported.
Whichever you pick is a separate subscription, billed by them and not included in AI PM OS. Claude Code and Claude Cowork both need a paid Claude plan. Codex lives in ChatGPT desktop and typically needs a paid ChatGPT plan. Cursor’s free tier works with AI PM OS from day one.
Live Comparison · Same Input
Most PM OS alternatives · what you usually get
Email 4 of 10 · still on the fence?

others lure you in with “free”
to upsell you expensive courses
Most PM OS alternatives
vibe coded
i'm trying to measure the value of engagement in our product
Sure! Engagement is very important. Here are some things to consider:
1. User research — do you have data on how customers engage?
2. Engagement is about making something valuable
3. Don't chase engagement for the sake of engagement
(no company, product, or goal context loaded)
Want me to pretend to use any subagents (they're just markdown files that won't trigger anything)?
AI PM OS · what prodmgmt.world ships
AI PM OS
hardened daily in real PM work
Recognized as measurement problem
auto-routed → /measure
Loading your context
COMPANY ✓ PRODUCTS ✓ GOALS ✓ TEAM ✓
→ clarification-chain
.cursor/skills/clarification-chain/SKILL.md
→ fermi-decomposition
.cursor/skills/fermi-decomposition/SKILL.md
→ value-of-information
.cursor/skills/value-of-information/SKILL.md
→ rule-of-five
.cursor/skills/rule-of-five/SKILL.md
Measurement plan ready for co-review
Spawning reviewer subagents & validating via knowledge base for any anti-patterns and gotchas
Receipts
01
The right method, every time
02
Sticks to your rules
03
Stops you shipping generic slop
04
Frameworks that show their work
05
Deep memory
06
Picks up where you left off

“I've been using AI for PM work for over a year and nothing has actually changed how I think until this. The /decisions workflow walked me through reversibility framing on a call I was dreading. I showed up with actual clarity instead of just vibes, and the call felt completely different.”
Riya
Senior PM

“The thing that got me was typing /stakeholder before a brutal exec review and getting a power map, influence tactics, and a pre-meeting script — all grounded in MY product context. So cool.”
Tom
Product Manager

“I ran the assumption mapping workflow before pitching a new initiative. It identified 4 assumptions I was treating as facts. Two of them were actually testable in a week. I validated one and invalidated the other before writing a single line of the PRD. It finally put things in the right order.”
Aisha
Senior PM

“Solo PM at a 12-person startup here. No senior PMs to gut-check me, no design partner, no one to push back on my thinking. This is the closest thing I've found to having a CPO in the room. It challenges me instead of just agreeing.”
David
Solo PM, Series A Startup

“I used the /opportunity workflow to map our entire opportunity space from scratch. It walked me through OST intake, built the tree, and pushed me to defend my target choice with Torres's four-factor framework. My roadmap is more defensible now than it's ever been.”
Nisha
Group PM

“I typed out a messy problem I'd been stuck on for two weeks and ran it through /strategy. It found the strategic crux in the first output. I had been solving the wrong problem. I cannot overstate how useful that was.”
James
Staff Product Manager

“What I love is that it's inside Cursor, not another tab I close. It reads my PRD files, my Context folder, my notes — and when I ask it something it's answering about MY product. I stopped context-switching. My whole PM brain lives here now.”
Amelia
Product Manager

“The /meeting workflow is absurdly good for political situations. Before my last all-hands I ran it and it surfaced two hidden agendas I hadn't named consciously. I went in prepared and walked out with alignment I wasn't expecting.”
Marcus
Director of Product
As a product leader, I kept seeing the same thing: PMs shipping AI output without a critical eye, no shared way to write or use skills, no real discovery process.
So I encoded the workflows I actually use — so a junior gets a weapon, and a busy PM can stay fast without the quality falling apart.
Product management shouldn’t be a slog with the odd good day. It should be fun, fast, and smart. Agents are becoming the default workplace — this is the context and skills layer I wish every team already had.
I spent years collecting PM frameworks and techniques I never had time to actually use. Bookmarks, Notion databases, saved tweets. When I needed them, I couldn't find them. When I found them, they weren't tailored to my situation.
So I built the AI PM OS for myself first — a workspace that knows my context and surfaces the right skills, frameworks, ideas, articles and workflows at the right moment. It helps me think better and faster, be more creative, align stakeholders, and ship work that actually moves the needle. 700+ PMs use it now. I use it daily.
AI PM OS is a product management operating system that runs inside Claude Code, Codex, Claude Cowork, or Cursor. After onboarding, you create curated context about your company, product, team, goals, and constraints. From then on, each response starts with your situation instead of a blank prompt.
The workspace includes 243 PM skills, 150+ frameworks, 11 guided workflows, review subagents, and live connectors — one complete operating system for one PM.
A skill is a single AI-invocable PM task — for example, /skill:jtbd-interview runs a structured Jobs-to-be-Done discovery session.
A framework is a structured thinking model a skill applies — for example, one of the 50 prioritization frameworks, each tagged with 'Use When' metadata so the right one activates for the situation.
A workflow is a chained, multi-step process — for example, /workflow:strategy sequences discovery → opportunity → PRD as a connected session, not three separate prompts.
PM OS ships with 243 skills, 150+ frameworks, and 11 workflows — organized so the right one surfaces when a PM needs it.
AI PM OS is a packaged workspace of files and workflows your editor reads automatically. No manual hunting through prompt libraries.
243 PM Skills — across 12 categories including strategy, discovery, prioritization, stakeholder management, and metrics.
150+ Frameworks — organized by product stage: discovery, validation, build, and grow.
50 Prioritization Frameworks — each tagged with "Use When" metadata.
100 Customer Interview Questions — across 6 research categories.
41 North Star Metric Examples — from real growth-stage companies.
25 PM Practice Drills — with session tracking and progress logs.
7 PRD Templates — Amazon PRFAQ, Shape Up pitch, Feature PRD, and more.
11 Guided Workflows — end-to-end motions you can run the same way every time.
260 Curated Lenny Posts — surfaced when you are stuck.
5-File Context System — tell the agents your company, product, team, goals, and constraints once.
No. AI PM OS is a folder of Markdown files your editors read. It does not replace your company Claude workspace, wipe custom instructions, or force a single vendor lock-in. Open it alongside whatever stack you already run.
Yes. Checkout runs through Polar, which issues receipts and invoices for business purchases. If your finance team needs a custom invoice or PO trail, email me at george@prodmgmt.world after checkout and I'll help.
No. Claude Code, Codex, Claude Cowork, and Cursor are AI tools — you type plain English. Setup is download the workspace from Polar, open it in your editor, run /start, and answer a few guided questions about your product. No code, no installs beyond the editor.
Claude Code and Claude Cowork run on a paid Claude plan (Pro, Max, Team, or Enterprise). Codex lives in the ChatGPT desktop app — a paid ChatGPT plan is typical for daily use. Cursor has a free tier that works with AI PM OS from day one, though most daily users are on Cursor Pro ($20/month). See current pricing: claude.com/pricing · chatgpt.com/pricing · cursor.com/pricing
AI PM OS is a separate license. Your editors are separate products with their own pricing.
AI PM OS is a local workspace of files on your machine — nothing leaves your computer through me. When you ask Claude Code, Codex, Cowork, or Cursor a question, context is sent to that editor's configured LLM provider under that vendor's terms — the same as any other prompt. Nothing routes through prodmgmt.world. prodmgmt.world is never in the data path and has no subprocessors for this product. If your company restricts AI tool use, AI PM OS inherits those same restrictions.
Need a procurement packet or DPA conversation? Email george@prodmgmt.world.
For a limited window, Individual includes a setup call with me — I get the workspace open in your editor and the skills loading. You'll get the booking link after checkout.
Outside that window, email me at george@prodmgmt.world and I'll help you get unstuck.
Onboarding is light: download the workspace from Polar, open it in Claude Code, Codex, Cowork, or Cursor, and run /start. The five context files (company, product, team, goals, constraints) are built with guided prompts — not a blank-page homework assignment.
Yes. During the setup-call window, if I can't get the workspace open and the skills loading, email me within 30 days of purchase for a full refund.
No hoops, no hard feelings.
After purchase you download the workspace from Polar, open it in Claude Code, Codex, Claude Cowork, or Cursor, and run /start. When updates ship, re-download from Polar.
Skills and workflows are maintained against current Claude, Codex/OpenAI, and Cursor releases.
Yes. A free public sample of the same quality bar lives at github.com/gnurio/nurijanian-skills. Start with make-requirements-great — the full skill source, not a teaser. The full AI PM OS workspace is built to that same bar.
Individual
$99 once
One-time payment · Instant download via Polar