Proof Loop Ops: Run Multi-Agent Work With Evidence, Not Screenshots
Most “AI automation” demos end with a screenshot and a shrug. Production teams need something else: proof that a run happened, what it cost, who approved it, and what came out.
That’s FuseIQ’s Proof Loop — Swarm Canvas → human-in-the-loop where needed → Eval → Outcome Card — on a governed runtime with metering and audit.
What operators get
| Surface | Job |
| --------- | ----- |
| Swarm Canvas | Multi-agent workflows with integrations, conditions, and outputs |
| HITL Approvals | Pause for human judgment on risky steps |
| Eval Studio | Score and compare agent quality — not vibes |
| Agent Wallet / BYOK | Per-run economics; bring your own LLM keys |
| Outcome Card | Shareable proof of a completed path |
Together they answer the only question a CFO or client cares about: did it run, was it controlled, and can we show it?
A practical loop
1. Design a Swarm from arsenal nodes (triggers, agents, integrations, outputs).
2. Connect credentials in Settings — honesty labels tell you what’s actually Live.
3. Execute with console traces; pause on approvals when risk is high.
4. Evaluate critical paths in Eval Studio before you scale volume.
5. Ship the Outcome Card — evidence, not a Loom of a green toast.
Quick Start is built for the first card in about a minute: fuseiq.io/quick-start.
Who this is for
Compare category options honestly on fuseiq.io/compare.
Honest boundaries
Start
FuseIQ — workflow automation & agent orchestration with proof on every run.
Try FuseIQ
Governed multi-agent ops with proof on every run. 3-day Pro trial on signup — no card required for the trial path.