founder-coach
AI founder coaching system — daily decision journal, accountability tracking, weekly strategy reviews, and AI-era specific questions on moat, commoditization...
npx skills add founder-coach-ai
founder-coach
AI founder coaching system — daily decision journal, accountability tracking, weekly strategy reviews, and AI-era specific questions on moat, commoditization...
npx skills add founder-coach-ai
founder-coach
AI founder coaching system — daily decision journal, accountability tracking, weekly strategy reviews, and AI-era specific questions on moat, commoditization risk, and outcome-based pricing. Not generic startup advice. Use for founder productivity, decision tracking, and strategic reflection.
Founder Coach 🎯
Your AI-powered founder accountability system.
A structured coaching framework for AI-era founders. Daily check-ins, decision journaling, weekly strategy reviews, and accountability tracking — all stored in your agent's memory.
Quick Start
Morning check-in
python3 {baseDir}/scripts/founder_checkin.py morning
Evening reflection
python3 {baseDir}/scripts/founder_checkin.py evening
Weekly review
python3 {baseDir}/scripts/founder_checkin.py weekly
View stats
python3 {baseDir}/scripts/founder_checkin.py stats
View recent entries
python3 {baseDir}/scripts/founder_checkin.py history --days 7
---
🌅 Morning Brief Template
Use this every morning to set your day:
1. Yesterday Recap
- What did I commit to yesterday?
- What actually got done? (completion rate)
- What carried over and why?
- "What manual process am I doing that AI could handle?"
- "Where is my moat — data, workflow, distribution, or brand?"
- "What's my cost-per-serve and how do I halve it?"
- "Am I building a product or a feature that GPT will add next quarter?"
- "What would a 10-person AI-native company do differently?"
- What went well today?
- What am I proud of?
- What didn't happen? Why?
- What would I do differently?
- Top 3 priorities for tomorrow
- One thing to stop doing
- One thing to start doing
- Commitments made this week: ___
- Commitments kept: ___ (___%)
- Trend vs last week: ↑ / → / ↓
- Data moat: Are we accumulating proprietary data? What data do we have that others don't?
- Workflow moat: Are we embedded in customer workflows? Switching cost?
- Distribution moat: Do we own a channel? Community? Brand?
- Speed moat: Are we shipping faster than anyone else?
- Which parts of our stack are becoming commoditized?
- What happens when GPT-5 / Claude 4 / Gemini 3 drops?
- Are we building on top of APIs that could become competitors?
- Cost-per-serve: What does it cost to serve one customer?
- Outcome-based pricing: Can we charge for outcomes, not seats?
- Marginal cost: Does our 1000th customer cost the same as the 1st?
- AI leverage: Where does AI give us 10x leverage vs humans?
- #1 priority (must happen):
- #2 priority (should happen):
- #3 priority (nice to have):
- One bet/experiment to run:
2. Today's Top 3 Priorities
| # | Priority | Why it matters | Time block |
|---|----------|---------------|------------|
| 1 | | | |
| 2 | | | |
| 3 | | | |
Rule: If you can only do ONE thing today, which is it? That's #1.
3. AI Founder Question of the Day
Pick one to reflect on:
---
🌙 Evening Reflection Template
Wins
Losses
Tomorrow
Energy Check
Rate 1-5: Energy [ ] Focus [ ] Motivation [ ]
---
📊 Weekly Strategy Review
Run every Sunday or Monday. Takes 30-60 minutes.
Performance
Key Metrics
| Metric | Last Week | This Week | Target |
|--------|-----------|-----------|--------|
| Revenue | | | |
| Users/Customers | | | |
| Key Feature Progress | | | |
| Cost-per-serve | | | |
Strategic Questions
#### Moat Analysis
#### Commoditization Risk
#### AI-Era Economics
Decisions Made This Week
| Decision | Context | Options Considered | Chosen | Reversible? |
|----------|---------|-------------------|--------|-------------|
| | | | | |
Next Week
---
📓 Decision Journal Format
For important decisions, use this format:
Decision: [Title]
Date: YYYY-MM-DD
Stakes: Low / Medium / High / Critical
Context
What's the situation? Why does this decision need to be made now?
Options
1. Option A: [description]
- Pro: ...
- Con: ...
- Cost: ...
2. Option B: [description]
- Pro: ...
- Con: ...
- Cost: ...
Decision
Chose: [Option X]
Reasoning: [Why]
Reversible: Yes/No
Review date: [When to check if this was right]
Outcome (fill in later)
Date reviewed:
Result:
Lesson:
---
📈 Accountability System
How It Works
1. Morning: Set 3 commitments
2. Evening: Mark complete/incomplete with notes
3. Weekly: Review completion rate and patterns
4. Monthly: Identify systemic issues
Scoring
Patterns to Watch
---
🤖 AI-Era Founder Questions Bank
Rotate through these in morning briefs:
Product & Moat
1. What would this business look like if AI could do 80% of the work?
2. Are we a thin wrapper around an API? How do we add defensible value?
3. What proprietary data or feedback loops do we create?
4. If OpenAI built our feature tomorrow, what would still be ours?
Economics
5. What's our cost-per-serve and trajectory?
6. Can we charge for outcomes instead of access?
7. Where do margins come from when AI costs drop 10x yearly?
8. What's our unit economics at 10x scale?
Competition
9. What can a 3-person AI-native startup build in 3 months that competes with us?
10. Where do we have distribution that new entrants don't?
11. What switching costs have we built?
Personal
12. Am I building a company or a project?
13. What am I uniquely positioned to build that AI can't easily replicate?
14. Am I spending time on $10/hr tasks or $1000/hr tasks?
15. What would I do if I had 10x the resources? What about 1/10th?
---
Storage
All entries are stored in memory/founder-journal/:
memory/founder-journal/
├── 2026-02-15.md # Daily entries
├── 2026-02-16.md
├── weekly/
│ └── 2026-W07.md # Weekly reviews
└── decisions/
└── 2026-02-15-decision-name.md
Credits
Built by M. Abidi | agxntsix.ai
Part of the AgxntSix Skill Suite for OpenClaw agents.
📅 Need help setting up OpenClaw for your business? Book a free consultation
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