V1 — public lab. SignalLab: raw metrics, not a score yet.

The Lab

AI Research & Engineering Lab

explainer

Agent vs workflow

Three public systems, three autonomy levels. Not everything needs to be an agent.

The mix-up

“Agent” is too often a marketing label for a pipeline with an LLM in the middle. This Lab keeps workflow, tool use and evaluable agent apart on purpose.

Three pieces of evidence, three shapes

  1. Knowledge Copilot — retrieval then generation. A grounded workflow, not an action loop in the world.
  2. Automation Agent — classification, extraction, score, human in the loop. Semi-deterministic. The README is explicit: not a multi-agent system.
  3. Decision Copilot — profiling → investigation → scenarios. More agentic. The profiling lab has a versioned A/B/C table (sample vs tool vs claims).

Rule

If failure is invisible (no tool, no metric, no review), it is copy, not a system. An honest workflow beats a cosmetic agent.

What I am not concluding

No “best framework” ranking. No MCP claim. The tabular profiling A/B/C table and the HITL gold (hitl-agent.v2) are published.