How We Prevent AI Agent Cost Blow-Ups

Early AI agent tools fail in a predictable way: a run looks fine in a demo, then multi-step Swarm or free-pool loops burn tokens while nobody can answer three questions:

1. What ran?

2. Who approved the external action?

3. What did it cost?

FuseIQ is built the other way around — control, cost, and proof first.

Instant proof before fleets

Start with Instant proof (~60 seconds). You get an Outcome Card: status, latency, copyable output. Only then scale to multi-agent Swarm. That order alone prevents “I connected everything and got a bill” onboarding.

Agent Wallet + BYOK

With Bring Your Own Key (BYOK), LLM spend hits your provider account. FuseIQ still attributes cost per run so operators see line items on `/runs`. Free-pool models are fine for first wins; production quality usually means your keys with wallet visibility.

HITL on high-risk actions

Human-in-the-loop pauses client-facing or high-risk steps until someone approves. Cost blow-ups are often repeat failures — a bad send, a loop, a wrong destination. Approvals are margin protection, not theater.

Eval gates before promote

Eval Studio-style gates keep broken prompts and flaky multi-agent graphs out of “production” promote paths. Fail closed on empty or fluff outbound bodies when the write gate is on.

What you should do this week

1. Run Instant proof free — no credit card.

2. Download a Proof Pack from a successful Outcome Card (Share proof copies a social-safe summary).

3. Connect BYOK only when you need quality; watch wallet lines on `/runs`.

4. Turn on HITL for anything that leaves the building.

More: What proof looks like · HITL deep dive · BYOK guide

— FuseIQ · governed work runtime