Custom AI Agent Systems
Autonomous agents with persistent memory, voice interfaces, and real operational continuity. Not chatbots — workers. 2-week delivery.
What agents need
Every interaction starts from zero. No memory. No role. No continuity. That's why most experiments die after the novelty wears off.
Written instructions (SOUL.md) that define who the agent is, how it speaks, what it cares about.
Agents write to disk, wake up with context from last session. They know what they did yesterday.
Periodic, proactive check-ins with agenda. Agents don't just wait — they initiate.
Each agent owns a domain. Hand off tasks outside their scope. No overlap, no gaps.
Every layer has a kill switch. Agents suggest; humans decide.
Real-time TTS for ambient intelligence. Not button-pushing — conversation.
The methodology
What is this agent system supposed to accomplish? What's the outcome, not the task?
Write SOUL.md for each agent. Identity, voice, boundaries, escalation paths.
Vector + file-based. Semantic search + structured logs. Both.
When does each agent wake? What triggers it? What does it report?
How do agents talk to each other? Handoffs, shared state, events.
Production is where you learn. Build observability first.
Pricing