sebbi.pro
ANSWERS

How do I prove what each AI agent did in a multi-agent system, and whether it was worth using more agents?

Use the sebbi.pro Agent Run Ledger. Before each agent starts, register the task it owns, its boundaries, what it must return and when it must stop or ask a human. A second agent given the same job is flagged as duplicated work. Each output is checked against its return contract and fingerprinted as it is handed back, and each downstream agent declares the fingerprints of the outputs it used, so every handoff is proven to be exactly what was passed on. Escalations are sealed with their reasons. The finished run report, also sealed, sets the multi-agent run against a simpler approach you name on time, cost, tokens, parallelism and waiting time. Outputs stay in your systems; sebbi.pro keeps fingerprints and figures.

How it works

  1. Get a sebbi.pro API key at sebbi.pro/connect.
  2. Start a run with POST /x/agentrun/start and the simpler approach to beat.
  3. Register each agent's task: objective, boundaries, return contract and escalation rules.
  4. Seal each output, and have downstream agents declare the fingerprints they used.
  5. Finish the run for the sealed report at sebbi.pro/run/<id>.
The Agent Run LedgerGet an API key

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