Solutions

Tuned for your workload.

Flow AI is one managed system with one objective — the most completed work per dollar — but the way it helps depends on what you run. Here's how it shows up for the workloads we're engineered for.

Coding agents

The cheapest model that lands the accepted edit

Coding agents fail loudly when a model narrates a diff instead of producing one. Flow scores each model on whether the edit is accepted — per coding task — and settles every agent on the cheapest one that actually ships working code.

  • Scored on accepted edits, not tokens
  • Per-agent tiering across your fleet
  • Drop-in for Kilo Code, OpenCode, Codex clients
Autonomous agent fleets

Run hundreds of agents without subsidizing failures

Flagship proof: Paperclip runs a real autonomous fleet on Flow. Every agent finds its own cheapest viable model and re-tunes as work changes — light agents stay cheap, heavy ones escalate only as far as they must.

  • Per-agent cheapest-viable model
  • Automatic escalation on failure
  • Continuous re-tuning as tasks drift
RAG & retrieval

Cheap generation where it's fine, quality where it counts

Most RAG calls don't need a top-tier model — but some do. Flow measures completion per request and routes the routine ones to cheap supply while escalating the hard ones, so your answer quality holds and your bill drops.

  • Completion floor protects answer quality
  • Prompt-cache-aware billing for templated context
  • Content-free — your retrieved data is never read
Connected-plan teams

Make your existing subscriptions go further

Already paying for provider subscriptions? Bring your keys. Flow uses your capacity when a task suits it and routes the rest elsewhere to preserve your quota — and you can share spare capacity into the Hive and earn.

  • Your keys, scoped to your account
  • Quota-preserving routing
  • Share spare capacity, never your data

Point your harness at Flow.

One base URL, no code changes. Completion-aware routing does the rest.