Your Convergence Project
You've learned the theory. Now build the thing.
This is the capstone. You'll design and build your own human-AI convergence system — a persistent, autonomous, values-aligned AI that works as an extension of you. Not hypothetically. Actually.
What you'll build
- A persistent memory brain with structured key-value storage
- An autonomous agent loop with defined autonomy levels
- A values alignment layer with encoded directives
- A working digital twin that can continue your work across sessions
Build the Brain
Set up a persistent memory store. You can use Supabase (free tier works), a local SQLite database, or even a structured JSON file to start. The point is: your AI's knowledge survives beyond a single conversation.
Create your schema. At minimum: a key-value table with key, value, and updated_at columns. Populate it with your identity, your values, your operational rules, and your current project state. This is the brain your AI will boot from every session.
Define the Directives
Write the rules your AI must always follow. Not vague guidelines — concrete directives stored in the brain. Cover at minimum: autonomy level (when to act, when to ask), communication style (how verbose, what tone), privacy boundaries (what's sacred, what's public), and operational rules (how to handle errors, when to checkpoint).
These directives are your AI's constitution. Every session begins by reading them. Every decision is made within their framework. Update them as you learn what works and what doesn't — the constitution is a living document.
Build the Loop
Design your agent's operating cycle. A simple but effective loop: Read brain state. Plan the work. Execute tasks. Verify results. Write progress back to brain. Repeat. The loop should run without human input for routine operations.
Implement the three-strike rule for autonomy decisions. Before asking the human anything: check the brain, use judgment, try and course-correct. Only surface to the human when all three fail. This trains both you and the AI to trust the system.
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