One-time purchase. Build your AI infrastructure.
Ship Products,
Not Documents.
You spend 60% of your week writing PRDs, stakeholder updates, and sprint reviews. AI that knows your roadmap, your users, and your stakeholders writes them for you. You make the decisions.
95+ professionals deployed • Connects to your tools via MCP • Zero vendor lock-in
What If Your AI
Knew Your Product?
Same AI model. Same prompt. The only difference: context. Examples use illustrative data to show the format.
"Write a PRD for the new onboarding flow."
"I can help write a PRD. Could you share the problem statement, target users, success metrics, and any technical constraints?"
"Write a PRD for the new onboarding flow."
"Based on the user research from last sprint (23 interviews, top pain point: setup friction), I've drafted the PRD using your standard template. Success metrics aligned with your Q2 OKR (reduce time-to-first-value from 47 min to 15 min). Technical constraints from your last architecture review are included."Uses your research, your templates, your OKRs, your tech constraints.
"Write the weekly stakeholder update."
"Sure! What progress was made this week? Any blockers to flag? What's planned for next week?"
"Write the weekly stakeholder update."
"This week: Shipped v2.3 onboarding (3 days ahead). Metrics: sign-up-to-activation improved 22%. Blocked: API rate limits on partner integration (eng working on it, ETA Thursday). Next: User testing for checkout redesign starts Monday. I've flagged that Marketing hasn't reviewed the launch copy yet."Real data from your project tools, written in your update style.
"Help me prioritize the backlog for next sprint."
"I can help with prioritization. Could you share your backlog items and the scoring criteria you use?"
"Help me prioritize the backlog for next sprint."
"Based on your RICE scores and the customer feedback from this sprint, I recommend: 1. Checkout redesign (RICE: 847, 3 enterprise customers blocked). 2. API v2 migration (RICE: 623, tech debt reducing velocity). 3. Dashboard analytics (RICE: 512, requested by 40% of survey respondents). Dropped: Dark mode (low impact, high effort)."
What Is a Second Brain?
Every Claude session starts from zero — unless you engineer the context it receives. A Second Brain is the system that ships with your roadmap, user research, stakeholders, and PRD templates already loaded.
Persistent Product Context
Your roadmap, OKRs, user interviews, experiment results, and stakeholder preferences — in a local SQL database so AI has product truth before every session.
Product AI Agents
Pre-configured for PRD writing, sprint planning, user research synthesis, and stakeholder updates. Trained on your doc templates and voice.
PM Skills
Commands like /write-prd, /sprint-plan, /research-synth, /stakeholder-update — one prompt, complete output in your company's format.
Connected Product Tools
Linear, Jira, Figma, Dovetail, Amplitude, Slack, Notion — AI reads real project data so PRDs and updates reflect actual state.
Plus: Your Own Product Ops Layer
Experiment Tracker
Every A/B test, feature flag, and rollout — logged with hypothesis, result, and learning. Resurfaced when you plan the next one.
User Research Index
Every interview, survey, and support ticket — semantically indexed. Ask "why do power users churn?" and get quotes, not vibes.
PRD & Update Pipeline
PRDs, specs, stakeholder updates, sprint reviews — drafted in your company's format with real data from Linear + Figma.
Decision Log
Every product call: the options, the rationale, the outcome. So you stop re-litigating decisions the team already made.
How it fits together
You
talk to Claude
Second Brain
structures your context
Claude
works with full context
Decisions
not documents
Better Output
every time
The result: Instead of re-explaining your roadmap every session, Claude already knows. It has last sprint's velocity, last month's user research, your stakeholders' preferences, and your PRD format — across every session. Plus a research index that compounds every interview.
Static Context vs Engineered Context
Static Context
Engineered Context
Setup
You re-paste your PRD template into every chat
AI generates PRDs in your exact company format from day one
Memory
Forgets last sprint's learnings, repeats the debate
Experiment + decision log resurfaces patterns before you repeat them
Tools
Copy-paste between Linear, Figma, Dovetail, Slack
AI reads Linear issues, Figma comments, research notes directly via MCP
Research
40 minutes digging through Dovetail for a quote
Semantic search across every interview, survey, and ticket in seconds
Quality
Hope the PRD has the right sections
Validation rubric blocks PRDs missing users/metrics/constraints
Ownership
Product knowledge trapped in a vendor's DB
Your Supabase. Your research. Cancel us, keep everything
This is why ChatGPT Memory, Notion AI, Cowork, and DIY setups all hit the same wall.
Personalized
not templated
Connected
not isolated
Measured
not guessed
Compounding
not static
Owned
not rented
Built for How PMs Actually Work
Five patterns we see in every PM setup. Which one is you?
The Document Machine
PRDs, specs, updates, retros, launch plans. You write more documents in a week than you make product decisions.
"I spend more time explaining what we're building than actually building it."
— Senior PM, B2B SaaS
The Translator
You bridge engineering, design, sales, and leadership. Every audience needs a different version of the same story.
"I don't want to keep saying the same to the LLM."
— Vanja
The Data Whisperer
User research, analytics, and customer feedback scattered across 7 tools. Finding the insight takes longer than acting on it.
"The research exists. I just spend 40 minutes finding it."
— Growth PM
The Technical PM
You're already in Claude Code working with engineers. You want AI that understands your codebase AND your roadmap.
"I'm mostly curious on how you do things differently."
— Wouter
The Juggler
3 products, 5 stakeholders, 12 active experiments. You need a system that tracks context across all of them without you manually updating anything.
"My biggest worry is that I do things half."
— Lucas
54%
Never opened a terminal
58%
Non-technical roles
87%
Disorganized files
8/8
Setup friction = #1 blocker
I'm Iwo Szapar. For the past 14 weeks, I sat down with 95 professionals — one at a time, 1-2 hours each — and manually built their Second Brains. What I was really doing was context engineering. That's also what made it impossible to scale.
I was the bottleneck. So I built Second Brain 2.0.
Deliverables that took 3 hours now ship in 15 minutes. Not because AI remembers more. Because AI validates before you review.
Co-founded the AI Maturity Index with Harvard researchers (420,000 data points, acquired by ISG in 2026). Helped 3,000+ companies and 25,000+ professionals at Microsoft, Walmart, and governments worldwide.
Trusted By
How It Engineers Your Context
Self-paced. No call needed. No technical knowledge required.
A conversational questionnaire maps your role, expertise, writing style, and current tools.
Answer questions about your work, clients, and preferences
AI analyzes patterns — writing style, decision frameworks, domain expertise
Generates a personal profile that becomes your AI's foundation
No technical knowledge required — like a structured onboarding call
After setup
AI Systems Decay. MemoryOS Prevents It.
New clients, new projects, new preferences — if AI doesn't learn about them, it falls behind. MemoryOS runs decay detection on your SQL database, flagging knowledge items not accessed in 30+ days, tracking confidence scores, and monitoring context pressure across 38 dimensions.
Beyond chat — shipped specs
Not Just Chat.
Shipped Specs.
Every PM command combines real project data, your templates, and your quality bar into one action. Type one slash command — get a PRD, not a brainstorm.
Write
PRD Generator
/write-prdDrafts a PRD in your company format using real research, Linear context, and OKRs. Validation blocks send if users/metrics/constraints missing.
→ prds/onboarding-v2.md (validated)
Spec Adversarial Review
/spec-reviewRuns your spec through security, engineering feasibility, and UX reviewers. Returns pass/fail per dimension.
→ 3 PASS, 1 BLOCKER: missing error states
One-Pager Builder
/feature-briefConverts a PRD into a stakeholder-ready 1-pager. Different versions for eng, design, exec, sales.
→ briefs/onboarding-v2-exec.pdf
Plan
Sprint Planner
/sprint-planRanks backlog by RICE + customer feedback + tech debt risk. Returns a prioritized sprint with capacity check against team velocity.
→ Sprint 23: 4 items, 34 story pts, 2 risks
Roadmap Reality Check
/roadmap-reviewCross-references roadmap against experiment results, user research signals, and Linear velocity. Flags stale bets.
→ 2 items drifting from user signal, 1 ahead of schedule
Weekly Stakeholder Update
/stakeholder-updateReads Linear + Slack + Figma activity. Drafts the update in your voice, flagged by audience (exec, eng, sales).
→ Draft ready, 3 flags for your review
Research
Research Synthesizer
/research-synthSemantic search across every interview, survey, and support ticket. Returns quotes + patterns + confidence.
→ 14 interviews matched, 3 themes, top quote attached
Interview Notes Ingester
/interview-notesPaste a raw interview transcript. AI extracts pain points, quotes, pattern tags, and appends to the research index.
→ 7 patterns extracted, indexed + linked to roadmap
Experiment Tracker
/experiment-logEvery A/B test, feature flag, rollout — hypothesis, result, learning. Resurfaces when you plan similar work.
→ 3 similar experiments found, 2 won, 1 inconclusive
10 PM skills. Build your own in minutes.
Every skill is a markdown file. Edit it, duplicate it, or chain it into your own /monday-kickoff variant.
Your Data Stays on Your Computer
The Guide is a remote plugin that reads your local brain structure to give guidance. Your actual content, client data, and personal information never leave your computer. We only see which tools you call and how often — for product improvement.
The 5 Layers of Context Engineering
Context engineering isn't one thing — it's a stack. Each layer makes AI smarter about you and your work.
Project Instructions (CLAUDE.md)
A file at the root of your workspace that Claude reads on every conversation. Your preferences, rules, writing style, tool conventions — loaded automatically, every time.
# CLAUDE.md ## Voice: Direct, no fluff. Never use "leverage" or "synergy." ## Clients: Enterprise SaaS, 50-200 employees ## When writing proposals: Use the 3-part framework from /templates
Persistent Memory
AI learns from every conversation and stores patterns, client details, and decisions in a local SQL database with 12 queryable collections and confidence scoring. Month 1: knows your name. Month 6: knows your client's pricing objections, when the last interaction was, and which proposals need updating.
Tool Connections (MCP)
The Model Context Protocol lets Claude read and act on your real product stack — Linear (issues, sprint velocity), Figma (design reviews, comments), Dovetail (user research), Amplitude (funnels, retention). Instead of describing your roadmap, Claude queries it directly.
Skills & Workflows
Reusable commands like /daily-briefing or /draft-proposal that combine multiple tools and context sources into one action. Type one command, get a complete output that would've taken 30 minutes manually.
Hooks — Deterministic Automation
This is where context engineering gets powerful. Hooks are shell commands that fire automatically at specific points — before a tool runs, after a file is saved, when a session starts. They don't rely on AI judgment. They always execute.
PreToolUse
Block PRD send missing required sections
Every PRD must include users, metrics, constraints, and open questions — rubric enforced
PostToolUse
Auto-link PRD to Linear epic
After drafting a PRD, create or update the Linear epic with spec link
SessionStart
Load active sprint + open stakeholder threads
When you open Claude, inject sprint context + unanswered stakeholder questions
Stop
Sync new research to the research index
Before finishing, any interview notes get embedded + indexed for /research-synth
# Example: Auto-link every PRD draft to its Linear epic
{
"hooks": {
"PostToolUse": [{
"matcher": "Write.*prd",
"hooks": [{
"type": "command",
"command": "$CLAUDE_PROJECT_DIR/.claude/hooks/link-to-linear.sh"
}]
}]
}
}The system configures your hooks automatically. You don't write JSON — you tell it what you want enforced.
Most "AI setups" only use Layer 1.
A Second Brain uses all 5 layers working together. That's why the output quality is fundamentally different.
What no other AI tool gives you
Your Database.
Your Infrastructure.
Your Rules.
Every AI wrapper stores your data on their servers. Cancel and it's gone. Your Second Brain deploys on infrastructure you own — Supabase + Vercel, both free tier. Cancel us and keep everything.
Your Own Database
A local database or your own Supabase. Your PRDs, research, experiment history, decision log — all in tables you control. Not trapped behind a PM-SaaS paywall.
Your Own Product Ops
Vercel runs your research indexer, sprint digest cron, experiment tracker. Weekly snapshots. Nightly Linear sync. All on your account.
Your Own PM Agents
PRD writer, sprint planner, research synthesizer — all run locally with your company context. Your strategy, your research, your roadmap never leave your device.
Updates Without Downtime
PRD templates and skills live in the database, not code. When PMF evolves, update the template row — no git pull, no deploy.
- Data stored on their servers
- Cancel = lose everything
- They control pricing, features, access
- Your AI context locked in their format
- Monthly rent for what should be yours
- Your Supabase database — you have the password
- Cancel us, keep everything deployed
- Open source formats: markdown, JSON, SQL
- 95+ API endpoints running on your Vercel
- One-time build, $0-20/mo to run
SaaS expires. Infrastructure compounds.
What Professionals Say
Shaun
85% faster first drafts
Marketing Operator
"My first drafts barely need editing anymore. The Brain knows my audience, my themes, and how I structure updates. It went from a starting point I had to rewrite to something I just polish. The difference is it remembers everything from last quarter."
85%
Faster first drafts
~0
Rewrites needed
100%
Context retained
Sharon Greene
Futurist
Zero technical skills
"I had never opened a terminal before this. Now I type one command and get my email, calendar, and tasks in one daily briefing. I genuinely said out loud: one command does all this?"
Richard Wilson
Transformation Partners
3-4 months saved
"Definitely worth the money to save me three to four months just hacking my way through it."
Damian
Professional
Profoundly changed
"The regular AI tools now just seem like child's play. This has profoundly changed how I work."
Dominic Albrecht
Non-technical user
No code needed
"I'm not a coder. I don't write code. So it's incredible that this type of stuff is available and can happen."
"This replaces my entire SaaS stack." — Mark & Stas
Pricing
Pay once. Own it forever.
Quick math
97 professionals are running their Second Brain right now. If it saves you 5 hours per week at $200/hr, that's $4,000/month in recovered time. The Kickstart pays for itself in the first week. One purchase. No subscriptions.
For technical users who want full control
DIY
The full system. You set it up.
Full repo: 55 skills, 21 agents, 7 integrations
Setup guide + Health Check MCP
Community access
Self-serve — you configure at your pace
MemoryOS available separately ($199/yr)
No support included
7-day money-back guarantee.
For professionals who want it working today
Kickstart
AI configures it. You're running in minutes.
Everything in DIY
AI agent builds your system from your answers
48-hour priority async support
First year of MemoryOS Pro included ($349 value)
Async support — no calls needed
7-day money-back guarantee.
For leaders who want it built for them
Done-With-You
2-hour onboarding call + full setup.
Everything in Kickstart
2-hour onboarding call with Iwo
I deploy your infrastructure (Vercel + Supabase)
Monthly Second Brain updates (new agents, skills, tools)
12 months MemoryOS included
2-hour call + direct access to Iwo
7-day money-back guarantee.
Your system stays current. Automatically.
New tools and skills ship through MemoryOS. Updates arrive without you doing anything. Health monitoring spots what needs attention. Weekly recommendations tell you what to fix. Included in Kickstart and Done-With-You.
What Happens After You Buy
Get Repo
5 min
Instant email with GitHub repo
Questionnaire
15 min
Answer about role and workflows
Build
~60 min
System generates, configured for you
First Win
7 min
Run /overview, priorities are there
Deploy Infra
30 min
One-click Vercel + Supabase (optional)
FAQ
From the Blog
Learn more about context engineering, MCP, and building better AI systems.
Context Engineering with MCP: A Practitioner's Guide
Deep dive into the Model Context Protocol — what it is, how it works, and why it matters for building AI systems that actually know about your work.
Your Second Brain Is Blind Without MCP
How the Model Context Protocol turns AI memory into AI action. Connecting your Second Brain to Gmail, Calendar, CRM, and more.
From Prompt Engineer to Context Architect
The emerging role nobody trained you for. Why context engineering is the new high-leverage skill for knowledge workers in 2026.
Claude Code Advanced Tips: 6 Months of Engineering Use
Production patterns, hook configurations, and context engineering workflows from 6 months of hardcore use building real systems.
Want to See It First?
Not ready to buy? Watch how it works or try a free resource.
Better System.
Better Output. Every Time.
Stop fighting generic AI. Start with a system that knows you.
DIY
Kickstart — Most Popular
Done-With-You