AI builds the app. You verify the logic.
Connect Leapter to Claude, or any AI assistant that speaks MCP, the agent integration standard, and build internal tools from a description. The interface is generated the way any modern AI app builder does it. The decision logic underneath lands in a Blueprint, the business logic itself, made visual and executable, that the people who own the rules can read, test, and approve before anything goes live.
Vibe-coding works. Until the logic matters.
Describing an application and watching it appear is the fastest way anyone has ever built software. For prototypes, that is enough. But the moment a generated app starts approving discounts, screening customers, or routing claims, the logic matters more than the interface, and in most AI app builders, that logic is buried in generated JavaScript or Python that the person accountable for the rule cannot read. Changing it means re-prompting and hoping.
With Leapter, the UI is generated the way it is anywhere else: fast, conversational, from a description. The difference is what happens beneath the surface. The business logic lands in a Blueprint, a visual, versioned view the rule owner can read on one screen and approve before deployment.
Vibe-coding speed. Enterprise control.
One workflow. The frontend stays fast. The logic becomes something the business can govern, not buried in code.
| Capability | AI app builder alone | AI app builder + Leapter |
|---|---|---|
| Business logic | Buried in generated JavaScript or Python | A visible Blueprint your team reads and approves |
| Who can verify it | A developer, by reading the generated code | The domain expert who owns the rule |
| Testing | Black-box only, the whole app tested through the UI, so full coverage is hard to prove | Each rule and branch tested directly, full edge-case coverage you can prove |
| Changing a rule | Re-prompt and hope nothing else moved | Edit the one rule, approve, deploy |
| Audit evidence | Output logs, the rule is buried and unversioned | Each decision links to the approved Blueprint version, its intent, and trace |
| Built for | Prototypes | Production |
From description to governed application
01. Connect Claude to Leapter
Register Leapter as an MCP server in Claude or Claude Code. It is a one-time setup, the Trial page has the install steps.
02. Describe the application
“An intake screen for warranty claims, with our coverage rules behind it.” Claude generates the interface and the wiring. The decision logic is drafted as a Blueprint in Leapter, not scattered through the generated code.
03. Verify the logic
Open the Blueprint in Leapter. Read the logic as diagrams in context or zoom into a single rule. Run AI-generated tests against edge cases, add your own, and step through any execution to see exactly which branch fired and why.
04. Approve and run
What you approve is what runs. The application calls the approved Blueprint through a REST API, every execution is logged with a full trace, and the same input produces the same output, no AI in the live decision.
Agentic when you build. Deterministic when it runs.
Where it runs
Start in the browser, or install Leapter locally and build through Claude.
Leapter can run as SaaS, in private cloud, or on-premises. During drafting, only the design-time prompt inputs you provide are transmitted to the LLM; approved logic runs deterministically outside the model.
What to build this way
Internal tools
The calculators, intake forms, and review screens every department keeps asking for. Built in days instead of quarters, with the rules behind them owned by the people who set them, not by whoever last prompted the model.
Workflow and operations apps
Approvals, routing, case handling, escalations. The screens are generated; the conditions that move work from one state to the next live in a Blueprint your operations leads can read and change.
Decision-heavy applications
Pricing, eligibility, screening, claims. Anywhere a wrong branch has a cost, the logic needs an owner who can inspect it, test it, and answer for it. That is the part Leapter takes out of the generated code.
Applications built on governed logic
Airline Crew Assignment
Vehicle Tax Calculator
KYC Screening
Warranty Coverage Classifier
Built for the teams shipping AI-built apps
Engineering leaders
Stop writing business logic on behalf of the business. Let AI generate the application, let domain experts own and approve the rules, and keep your team on the platform, integrations, and infrastructure around it. You review a Blueprint and a test suite, not a thousand lines of generated code.
Innovation teams
Ship the internal tools the business keeps asking for, with a production path built in. The speed that makes AI app building attractive stays; what changes is that the logic underneath is inspectable, versioned, and approved before it runs, so the pilot does not die in review.
Build the first one this week
Start in the browser or connect Claude
Create your first Blueprint in minutes, or install the Leapter package and build directly from Claude.
Design partner briefing
Bring one example, an internal tool, a workflow, a decision your team owns. We will show you what it looks like as a Blueprint your experts can read, test, and approve.
Discover more
Contact Us
Start the right conversation
Contact us at any time through info@leapter.com
Design partners & investors
We work with a small number of design partners and are selectively expanding our investor circle.