Agent design
Scope the job-to-be-done, tools, guardrails, and evaluation before a single prompt ships.
AI enablement lab
Ship agents your team can actually operate.
six12labs designs, hosts, and observes AI agents in production. Six systems. Twelve-week sprints. No black box left behind.
6
production systems every agent needs
12
weeks from prototype to a hosted runtime
1
pane for health, users, and clicks
The six
What we put under every agent
- Design
- Runtime
- Knowledge
- Observability
- Governance
- Enablement
Hosted runtime
Production hosting for agents: isolation, secrets, queues, retries, and regional failover.
Knowledge systems
RAG that stays fresh — connectors, chunking, citations, and freshness SLAs.
Observability
Health, latency, containment, and cost on a private operations console.
Governance
Access, audit logs, data boundaries, and policy that does not stall shipping.
Enablement sprints
Twelve-week programs that leave your team able to operate agents without us.
Field notes
From the lab
How to host AI agents in production without a science project
A practical hosting model for AI agents: isolation, health checks, retries, versioning, and a rollback path that product teams can actually run.
Agent observability: health, latency, and heartbeats that mean something
What to measure on hosted agents — heartbeats, p95 latency, tool errors, and containment — so operations is not a spreadsheet of vibes.
RAG that stays fresh: freshness SLAs beat bigger indexes
Retrieval quality decays when sources move. How to design knowledge systems with freshness SLAs, citations, and honest “I don’t know” paths.
Start a sprint