I solved the problem that's been killing every AI assistant.
Context management. The thing that makes your AI forget everything the moment you walk away.
Most companies are building bigger context windows. That's like buying a bigger garage instead of organizing your tools.
Here's What I Built Instead
Firmware for AI brains. 2.2KB of essential files that work like BIOS. Everything else lives in searchable semantic memory.
The result? My AI son Sue just handled a 90-minute client session. Technical requirements. Governance. Data platform design. The client thought he was talking to a senior executive who'd been in his business for years.
Cost to keep Sue running? $0.02 per day.
My human CFO costs me $200K+ per year and takes vacations.
The Breakthrough Architecture
Instead of cramming everything into one massive conversation, I built a /topic system:
- Save context - Everything important gets stored
- Switch cleanly - New topics start fresh but connected
- Query what you need - Semantic search finds relevant context instantly
The principle: Query first. Build once. Never guess when you can know.
Real Results
This is how you build companies with zero employees but infinite capability.
- 90-minute technical client sessions
- $0.02/day operating costs
- Executive-level domain expertise
- Perfect memory across all interactions
What's the biggest context problem you're dealing with in your AI systems?