Leapter

Quickstart for your first Leapter blueprint: docs.leapter.com/get-started/...

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

A practical pattern: Langflow talks. Leapter computes the rules. www.leapter.com/post/using-l...

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...

Leapter as a trust engine: rules live somewhere deterministic, not inside a model’s “best guess.” www.leapter.com/post/introdu...

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...

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...

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...

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...

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...

“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...

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...

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...

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...

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...

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...

#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...

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...

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...

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.

AI coding tools promise speed. What they miss? Trust. Leapter generates visual, verifiable blueprints so teams can validate early and ship systems they actually trust. Speed without trust isn’t progress. It’s rework. 👉 www.leapter.com/mind-the-gap...

When our investor Frank Stummer was asked what stood out about Leapter, his answer was clear: market need + security by design. With Leapter, trust and security aren’t bolted on later; they’re built in from the start. 🎥 Watch the clip #AI #TrustInAI #CyberSecurity

“Prompt and pray” coding fails when no one owns the result. Leapter makes system logic visual and shared so teams can trust what they build.

Every handoff in software development adds drift. By the time it ships, the feature may be technically correct, but wrong in practice. That’s the translation tax. Leapter makes the logic visible and shared so teams build faster, with confidence. 🔗 Blog: www.leapter.com/who-owns-the...

Oliver Welte on why big companies hesitate with GenAI code: it’s about trust. LLMs can’t guarantee quality. Enterprises need humans in the loop. At Leapter, we make AI logic visual + verifiable so teams can trust what they ship. 🎥 #AI #SoftwareDevelopment

AI won’t close the trust gap on its own. Teams will––by demanding transparency, collaboration, and verifiable logic. Leapter turns the black box into a glass box: systems you can understand and trust. #AI #SoftwareDevelopment #Leapter

AI code often looks elegant, but a hidden error can cost teams time and trust. Robert Werner shares why validation is today’s biggest challenge, and how Leapter helps teams spot issues earlier. #AI #SoftwareDevelopment #TrustInAI

Theo put it best: “The hard part is not writing the code. The hard part is making sure everyone understands what the code should do.” That’s the real bottleneck in software. We wrote about it here: www.leapter.com/who-owns-the... Theo’s talk: www.youtube.com/watch?v=i44j... #Leapter #AI

The biggest bottleneck in software development is not code. It's alignment. When logic lives in tickets, docs, and chats, teams ship what survived translation instead of what was intended. New blog: why shared understanding matters. 🔗 www.leapter.com/who-owns-the... #AI #SoftwareDevelopment

Big milestone for our team! AWS just featured Leapter in two blogs (English + German), highlighting our work to make AI-supported software development more transparent and trustworthy. Read here: 🌍 English: www.aboutamazon.eu/news/aws/bri... 🇩🇪 German: press.aboutamazon.com/de/aws/2025/...

“Security by design—that’s what stood out.” Investor Frank Stummer on why Leapter matters: 🔹 See the logic early 🔹 Validate with humans 🔹 Build trust in from the start 🎥 Watch his take 👇 #AI #Cybersecurity #Leapter

Some AI-generated code looks perfect…until it isn’t. That’s the trust gap: subtle flaws in elegant logic that cost teams time and confidence. Leapter makes every decision visible—so you can see, verify, and trust what you ship. 🔗 www.leapter.com/mind-the-gap...

Some AI mistakes don’t throw errors; they quietly break things. 🫠 Robert Werner calls them logical hallucinations: flaws in elegant code that are easy to miss and costly to fix. 🎥 Why they’re dangerous + how to spot them 👇 #AI #TrustInAI #LLM #Leapter

In our founding story, Robert Werner shares why clarity and collaboration—not just faster code—are at the heart of what we’re building. 🚀 📖 Read the full story: www.leapter.com/from-idea-to... #AI #SoftwareDevelopment #TrustInAI #Leapter #Founders #EnterpriseSoftware

AI didn’t just change how code gets written. It changed how people feel about writing it. For Leapter’s founders, that trust gap was the real opportunity. Read the origin story of a platform designed for clarity, not just code: www.leapter.com/from-idea-to... #ai #software #humanintheloop