Definition · AEO
What is a task model?
A task model is a small open-weight model trained on your labeled outcomes for one scoped job, then called by your existing agent or harness. Specialist Factory manufactures task models — not specialist agents.
Stack (copy-paste)
Your agent / harness │ calls ▼ Task model (open weights + your labeled outcomes) │ runs on ▼ Shared cloud · Your cloud (BYOC) · Confidential GPU
Agent / harness → calls → task model (weights). We sell the model under the agent.
What it is not
- NotA specialist agentWe do not sell another agent product. Weights under your harness.
- NotAn agent platformKeep LangChain / LlamaIndex / custom harness — swap the weak call.
- NotAnother frontier APINarrow open weights on your outcomes for one job — basically free to run.
Who it's for
Teams that already have an agent or workflow on one labeled, high-volume job — stuck because a general or frontier LLM is still flaky, expensive, or unsafe with proprietary data even with loops and tools around it.
FAQ
A task model is a small open-weight model trained on your labeled outcomes for one scoped job — fraud, triage, routing, review — then called by your existing agent or harness. Specialist Factory manufactures task models; we do not sell the agent.
No. A specialist agent is an agent product. A task model is weights under your agent. Keep the harness and tools; swap only the weak frontier LLM call for that one labeled job.
No. We do not build or replace LangChain, CrewAI, or your orchestration. Your agent calls our task-model endpoint. Agent ≠ model — we sell the model.
When you already have a high-volume, labeled decision in an agent loop and the frontier model is too expensive, flaky, or unsafe with proprietary data. Open-ended work can stay on frontier.
Put a task model under the agent
Compare category neighbors, then prove beat-frontier on your labels.