
The problem with probabilistic logic
When multi-step business logic is executed by a probabilistic model, even a small per-step error rate — drift across steps — quickly compounds into an unacceptable failure rate. When the outcome truly matters — billing, compliance, risk, pricing — “close enough” is not acceptable. This is an architectural problem, not a prompting problem: you are relying on a probabilistic tool to do a deterministic job. It forces teams to babysit AI automations with human review, which prevents them from safely scaling into production.What Leapter gives you
Leapter reverses the control. Instead of asking an agent to invent the logic each time, you define it once as a visual, executable Blueprint — and it runs the same way every time.| Pillar | What it means |
|---|---|
| Readable logic | Business rules stay visible as executable diagrams, not buried in code. Domain experts can read, design, and own them without waiting on developers. |
| Traceable logic | Every decision is auditable. You can trace each branch that led to an outcome — built-in evidence for compliance and debugging. |
| No AI in live decisions | Blueprints run deterministically. The AI helps you build; it never sits in the live execution path, so there is no LLM uncertainty when the logic runs. |
Who it’s for
- Heads of Compliance & Risk — auditable, deterministic decisions you can defend.
- Domain experts — own and approve the rules in plain language, without code.
- CIOs & Heads of AI — put agentic automation into production safely.
- Engineering leaders — stop hand-coding and babysitting brittle business logic.
New to Leapter? Your next steps
| Next step | Goal |
|---|---|
| Key Concepts | Understand the building blocks — Blueprints, nodes, inputs, outputs, and how they fit together. |
| Generate with AI | Build your first Blueprint in minutes by describing your logic in plain language. |
| Deploy & Integrate | Connect your Blueprint to AI agents, REST APIs, n8n workflows, and more. |