How it Works
Multi-Agent AI Pipeline
Traceformer.io uses a three-phase orchestrator pipeline: planning, parallel evidence retrieval, and synthesis. This structure maximizes review quality while minimizing token and model cost.
The Review Pipeline
Schematic
Datasheets
Up to 40
1. Planner
Analyzes schematic, creates work order
2. Workers
Up to 10 parallel agents
3. Merger
Synthesizes evidence into review
Schematic
Datasheets
Up to 40
Planner
Analysis
Workers
Parallel execution
Merger
Synthesis
Planner
- Parses your complete KiCad project or Altium netlist file
- Identifies circuit subsystems (power, comms, sensors, etc.)
- Creates evidence requirements for each subsystem
Workers
- Run in parallel for speed (up to 10 simultaneous)
- Each specializes in one subsystem
- Search datasheets for relevant specs
- Use lightweight models to minimize cost
Merger
- Receives all evidence from workers
- Synthesizes findings into structured output
- Produces actionable recommendations
Why This Architecture?
Cost Efficiency
Pick between frontier reasoning models such as GPT 5.2, Opus 4.5, or Sonnet 4.5 for planning and synthesis. The bulk of the work (evidence gathering) uses lightweight, fast models that cost a fraction of the price.
Speed Through Parallelism
Workers execute simultaneously, reducing wall-clock time significantly compared to sequential processing. Your review completes faster.
Fault-Tolerant Analysis
If a worker fails to gather useful evidence, the model does not get hung up. You still receive a useful review even when a worker cannot find relevant data, and the system clearly reports what it coulden't verify.