Quickstart for your first Leapter blueprint: docs.leapter.com/get-started/...
Quickstart - Leapter Documentation
docs.leapter.com
Leapter
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AI-generated code is great. But only if we can trust it. At Leapter, we want to reinvent how software is delivered, from prompt to production. Read more about how we're approaching the problem on our blog: https://www.leapter.com/blog/
Agents should orchestrate. Deterministic tools should decide. We wrote up a practical workflow: generate a spec, review the logic visually, test boundary cases, then export into n8n, MCP, API, or code.  www.leapter.com/post/determi...
Docs drop: start here if you want to build + verify a blueprint. docs.leapter.com
What is Leapter - Leapter Documentation
docs.leapter.com
A practical pattern: Langflow talks. Leapter computes the rules. www.leapter.com/post/using-l...
Using Leapter with Langflow: Giving AI Agents a Logic Layer They Can Trust
In this demo we combine Leapter with Langflow to automate a pizza ordering service!
leapter.com
Speed is fine for prototypes. In production, speed without understanding is a liability. www.leapter.com/post/ai-help...
Why agents fail at logic (and what a deterministic tool changes). www.leapter.com/post/why-age...
Why Agents Fail at Logic (and How to Fix It)
AI agents are great at reasoning, but terrible at executing logic. Learn why they drift, where they fail, and how Leapter’s visual blueprints give them reliable, human-verified logic to run safely.
leapter.com
Leapter as a trust engine: rules live somewhere deterministic, not inside a model’s “best guess.” www.leapter.com/post/introdu...
Introducing Leapter: The Logic Layer Every AI Agent Needs
AI agents are powerful but unreliable without a logic layer. Learn how Leapter’s human-verified blueprints give agents the structure and trust they need to automate safely.
leapter.com
If vibe coding lets anyone generate code, the bottleneck is understanding it. Human-verifiable logic = visual + deterministic + executable: inspect every branch, run test inputs, then publish it as a tool. www.leapter.com/post/what-do...
The hardest part of building software is shared understanding. Leapter’s pitch: make logic visible + verifiable. www.leapter.com/post/what-is...
What Is Leapter?
Leapter reimagines the path from business intent to production-ready code with a visual, human-verifiable approach. By turning invisible logic into visible blueprints, Leapter helps teams align faster...
leapter.com
We don’t need more black boxes that ship “something” and then make engineers clean up the consequences. Keeping humans in the loop means the logic stays visible and testable: inspect the rules, verify the behavior, ship with confidence. www.leapter.com/post/mind-th...
Welcome to 2026: the hype correction is a feature, not a bug. LLMs generate code fast. But logic still has to be owned, inspected, tested, repeatable. If an agent ships what you can’t verify, you didn’t gain speed. You moved the cost into review, incidents, rework. Link in first comment. 🔗
McKinsey’s 1-year agentic AI takeaway: focus on workflows, not shiny agents.  Our add: agents orchestrate, deterministic tools decide. If the rule matters, you should be able to inspect what ran. www.mckinsey.com/capabilities...
mckinsey.com
Agents should talk. Tools should decide. We demoed @langflow.org + Leapter with a pizza-ordering agent: Langflow orchestrates, Leapter computes deterministic pricing via MCP. 🍕Playful example, production pattern. www.leapter.com/post/using-l...
Using Leapter with Langflow: Giving AI Agents a Logic Layer They Can Trust
In this demo we combine Leapter with Langflow to automate a pizza ordering service!
leapter.com
Agents aren’t failing because they can’t “reason.” They fail because they can’t reason consistently—and deterministic logic doesn’t tolerate vibes.  Why Agents Fail at Logic (and how to fix it): www.leapter.com/post/why-age...
Why Agents Fail at Logic (and How to Fix It)
AI agents are great at reasoning, but terrible at executing logic. Learn why they drift, where they fail, and how Leapter’s visual blueprints give them reliable, human-verified logic to run safely.
leapter.com
“You can’t trust what you didn’t validate. And you shouldn’t have to.” AI-generated code can run and still be wrong. When logic is opaque, teams pay the review tax. Leapter makes logic visible first — so humans can verify it before it becomes code. www.leapter.com/post/mind-th...
Can you trust your AI agent with pricing, risk scores, or approvals? In this new video, Marlene Schlegel shows how Leapter’s Logic Server gives agents deterministic tools they can call instead of guessing from a prompt. 🎥 www.youtube.com/watch?v=oggt...
Black Box or Glass Box? The only way to reliable Enterprise AI. | Leapter
YouTube video by Leapter
youtube.com
Agents can’t “vibe” their way through pricing or risk rules. In this video, Lena Hall uses Leapter + @n8n.io to keep logic visual, verifiable, and deterministic while the agent handles execution. 🎥 www.youtube.com/watch?v=6nLJ...
Build Deterministic AI Tools for Reliable AI Agents: Leapter + n8n Demo
YouTube video by AI with Lena Hall
youtube.com
Most AI tools generate code. The real problem is agreeing on the logic before the code exists. Leapter makes that logic visible so teams can trust what they ship.
McKinsey’s latest AI report makes a clear point: AI inaccuracy is already creating real problems for teams. This is exactly why we built Leapter around visual, human-verifiable logic. If you can’t see the logic, you can’t trust it. Report → archive.ph/aj7mb
People talk a lot about agent “intelligence," and not enough about agent consistency. Leapter adds determinism with a human-verified logic layer. Revisiting this post → www.leapter.com/post/introdu...
Introducing Leapter: The Logic Layer Every AI Agent Needs
AI agents are powerful but unreliable without a logic layer. Learn how Leapter’s human-verified blueprints give agents the structure and trust they need to automate safely.
leapter.com
AI agents improvise. Your tools shouldn’t. Here’s how to build deterministic, human-verified tools without writing code, test the logic visually, and export them straight into #n8n. 🎥 www.youtube.com/watch?v=6nLJ...
Build Deterministic AI Tools for Reliable AI Agents: Leapter + n8n Demo
YouTube video by AI with Lena Hall
youtube.com
AI agents are multiplying, but reliability hasn’t caught up. They reason probabilistically, not deterministically. Leapter adds the missing layer: human-verified logic agents execute rather than guess. Why it matters → www.leapter.com/post/introdu...
Introducing Leapter: The Logic Layer Every AI Agent Needs
AI agents are powerful but unreliable without a logic layer. Learn how Leapter’s human-verified blueprints give agents the structure and trust they need to automate safely.
leapter.com
Just a little glimpse of Leapter in London. 🇬🇧 Big ideas, small talk, and a question we keep coming back to: What if we built a language both humans and AI could understand? 🎥 www.youtube.com/watch?v=Iuyq...
Leapter @AIForTheRestOfUs 2025 in London ...
YouTube video by Leapter
youtube.com
#ICYMI: Turning business intent into trusted software shouldn’t require a dozen handoffs. Leapter makes logic visual, auditable, and human-verifiable so teams ship faster and smarter. 🔗 www.leapter.com/what-is-leap...
What Is Leapter? - Leapter
Leapter reimagines how software gets built—turning business intent into visual, auditable logic that’s generated by AI and trusted by humans.
leapter.com
Software often breaks in translation. The business explains. Product rewrites. Engineering interprets. Leapter fixes the loop — turning business intent into visual, human-verifiable blueprints everyone can trust. 🔗 www.leapter.com/what-is-leap...
What Is Leapter? - Leapter
Leapter reimagines how software gets built—turning business intent into visual, auditable logic that’s generated by AI and trusted by humans.
leapter.com
AI tools can write code—but can you trust it? Speed means nothing if you can’t see the logic. Leapter makes AI output visible, auditable, and human-verifiable—so teams move fast and trust what they ship. www.leapter.com/mind-the-gap...
Mind the Gap: Why We Don’t Trust AI-Generated Code (Yet) - Leapter
AI coding tools are exploding in popularity. Everywhere you look, there’s a new promise: faster development, smarter automation, and no more late nights squinting at your terminal. For developers, it ...
leapter.com
Big leaps in software come from clarity, not just code. 🐸 Leapter makes business logic visual & verifiable—so teams can trust what they ship.
The myth of AI code gen: 🚫 Hallucinations aren’t going away 🚫 “Faster” now means slower later in validation At Leapter, trust comes first: visible, verifiable blueprints → production code. 🎥 Oliver Welte explains.
What if “human in the loop” meant the business user—not just the developer? Leapter makes it possible for domain experts to validate system logic early. Trust, built in.
“Humans in the loop” shouldn’t just mean devs cleaning up AI code. At Leapter, we make it possible for domain experts to validate the logic, too—because they own the intent.