Agentic Systems
Multi-step autonomy
Agents that plan, act, and recover — not one-shot demos.
The lab is the research half of Pocari AI Labs. It's where we explore agentic systems, LLM orchestration, and production AI reliability — and where we publish what we learn.
A running log of what the lab is probing — the practical problems we're solving and the patterns we're extracting along the way.
Patterns for agents that can plan, act, and recover from failure without falling into loops or drifting off task.
Building evaluation harnesses that catch silent regressions before they reach production users.
How to route workloads across heterogeneous local model backends for cost, latency, and reliability.
Making agentic systems auditable — where a decision came from and why.
The lab publishes openly, but the consulting side takes on a handful of engagements at a time.
Visit the consulting practice →