Agents reasoning about how to do things in software risks inconsistent or wrong execution. Unaka removes the guesswork and replaces it with a deterministic plan. Same input → same plan → same outcome.
LLMs produce different API calls, different payloads, different sequencing on every run. That means hallucinated fields, inconsistent data, and silent failures in production.
When an agent guesses wrong, you can't see why. No inspectable steps. No audit trail. Just a broken state and a retry loop that burns tokens and time.
Every provider is an engineering project. Build a server. Define tools. Handle edge cases. Maintain it. The agent still guesses at the payloads anyway.
"create urgent bug assign to me"
Unaka
{ status: "ready", steps: [...] }
| Without Unaka | With Unaka | |
|---|---|---|
| API calls | Guessed by LLM each time | Resolved from catalog |
| Payloads | Different on every run | Identical on every run |
| Sequencing | Probabilistic | Deterministic |
| Inspectability | Opaque | Every step visible |
| Latency | 10–30 seconds | Sub-second |
| Token cost | Thousands per request | Zero |
| Prompt | Complexity | Harness | Tokens | API Calls | Cost | Correct |
|---|---|---|---|---|---|---|
| Create urgent bug for login timeout assign to me | Simple | Unaka Winner | 0 | 1 | $0.00 | ✓ |
| MCP | 23,769 | 3 | $0.0713 | ✓ | ||
| High priority feature, Engineering team, due next Friday, assign to me | Complex | Unaka Winner | 0 | 2 | $0.00 | ✓ |
| MCP | 32,071 | 4 | $0.0962 | ✓ |
Benchmarked against Claude Sonnet with Linear's official MCP server. Same intents, same model, real Linear issues created. Unaka returns a plan — execution is the caller's responsibility.
Ship agent-ready integrations without building them. Unaka turns natural language into correct API calls for your product. No guessing. No drift. Agents just work.
One endpoint. Every provider. Your agent sends intent, gets back a deterministic execution plan with exact payloads, sequencing, and inspectable steps. No reasoning overhead. No silent failures.
Unaka generates deterministic plans. It executes nothing. It stores nothing about your intent, your users, or your data.
Intent content and parameter values are never stored. Plan outputs are stored only to enable cross-request chaining — never what was said, only what was resolved.
We count workflow executions and success rates. Never what was said. Never who said it.
Unsupported intents are stripped of all identifying information before anything is logged.
Unaka is in early access. We're working directly with teams shipping agents to production. Same input. Same plan. Same outcome.