What if agents didn't have to figure out software?

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.

POST/plan
{
  "intent": "create urgent bug for login timeout assign to me due next friday",
  "provider": "linear"
}
returns
{
  "plan_id": "plan_abc123",
  "provider": "linear",
  "workflow": "createIssue",
  "status": "ready",
  "plan": {
    "steps": [{
      "action": "create_issue",
      "object": "issue",
      "inputs": {
        "team_id": "36824a37-...",
        "title": "Login timeout bug",
        "priority": 1,
        "dueDate": "2026-04-11T00:00:00Z",
        "assignee_id": "0abb0e37-..."
      },
      // execution spec — the core differentiator
      "execution": {
        "method": "POST",
        "endpoint": "https://api.linear.app/graphql",
        "headers": {
          "Authorization": "{{LINEAR_API_KEY}}",
          "Content-Type": "application/json"
        },
        "body": {
          "query": "mutation CreateIssue($input: IssueCreateInput!) { issueCreate(input: $input) { success issue { id identifier } } }",
          "variables": {
            "input": {
              "teamId": "36824a37-...",
              "title": "Login timeout bug",
              "priority": 1,
              "dueDate": "2026-04-11T00:00:00Z",
              "assigneeId": "0abb0e37-..."
            }
          }
        },
        "outputs": {
          "issue_id": "data.issueCreate.issue.id",
          "issue_identifier": "data.issueCreate.issue.identifier"
        },
        "depends_on": []
      }
    }]
  },
  "confidence": 0.97,
  "extraction_tokens": 0,
  "generated_at": "2026-04-04T00:00:00Z"
}
THE PROBLEM

Run the same task twice. Get different results.

🎲

Non-deterministic by default

LLMs produce different API calls, different payloads, different sequencing on every run. That means hallucinated fields, inconsistent data, and silent failures in production.

👻

No visibility

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.

🔧

Integration debt

Every provider is an engineering project. Build a server. Define tools. Handle edge cases. Maintain it. The agent still guesses at the payloads anyway.

HOW IT WORKS

Agents don't guess. They execute a plan.

Agent intent

"create urgent bug assign to me"

POST /plan

Unaka

Execution plan

{ status: "ready", steps: [...] }

Without UnakaWith Unaka
API callsGuessed by LLM each timeResolved from catalog
PayloadsDifferent on every runIdentical on every run
SequencingProbabilisticDeterministic
InspectabilityOpaqueEvery step visible
Latency10–30 secondsSub-second
Token costThousands per requestZero
REAL BENCHMARK DATA

Same intent. Same model.
Radically different outcomes.

PromptComplexityHarnessTokensAPI CallsCostCorrect
Create urgent bug for login timeout assign to meSimpleUnaka Winner01$0.00
MCP23,7693$0.0713
High priority feature, Engineering team, due next Friday, assign to meComplexUnaka Winner02$0.00
MCP32,0714$0.0962
20/20
batch routing tests passing
on Linear and GitHub
83%
cheaper than
MCP
11×
fewer API calls
on compound workflows

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.

A better primitive for agents.

SaaS companies

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.

Agent builders

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.

BUILT WITH TRUST

Plans in. Nothing out.
We never see your data.

Unaka generates deterministic plans. It executes nothing. It stores nothing about your intent, your users, or your data.

🔒

Zero data retention

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.

📊

Aggregate metrics only

We count workflow executions and success rates. Never what was said. Never who said it.

🗃

Feature requests are anonymized

Unsupported intents are stripped of all identifying information before anything is logged.

Privacy policy in one sentence: "We log that something happened, never what it was."

Stop guessing. Start planning.

Unaka is in early access. We're working directly with teams shipping agents to production. Same input. Same plan. Same outcome.