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.
Building an agent harness? Start with the agent-builder page — including our MCP server so your agent can query live model prices itself.
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
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
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
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.