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Leapter @leapter.bsky.social · 26/01/2026

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

docs.leapter.com

Quickstart - Leapter Documentation

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Leapter @leapter.bsky.social · 22/01/2026

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...

Graphic titled “Deterministic tools for AI agents.” Steps include: identify a high value decision, define the spec, make logic visible, involve domain experts, version tools, build in Leapter, test with real data and edge cases, then export into n8n, MCP, API, or code.

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Leapter @leapter.bsky.social · 20/01/2026

Docs drop: start here if you want to build + verify a blueprint. docs.leapter.com

docs.leapter.com

What is Leapter - Leapter Documentation

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Leapter @leapter.bsky.social · 14/01/2026

Speed is fine for prototypes. In production, speed without understanding is a liability. www.leapter.com/post/ai-help...

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Leapter @leapter.bsky.social · 08/01/2026

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...

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Leapter @leapter.bsky.social · 06/01/2026

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...

White background graphic with large black headline on the left: ‘Keeping humans in the loop.’ Below, two short paragraphs read: ‘We don’t need more black boxes that ship “something” and then ask engineers to clean up the consequences. We need a glass box: logic you can see, reason about, and agree on as a team.’ and ‘Keeping humans in the loop means AI can propose solutions, but humans can verify the rules. The output stays auditable, repeatable, and collaborative, not a magic trick you’re forced to trust.’ On the right side are stacked purple-to-pink gradient squares, plus a small pixel-like icon in the bottom right.

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Leapter @leapter.bsky.social · 05/01/2026

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. 🔗

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Leapter @leapter.bsky.social · 18/12/2025

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

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Leapter @leapter.bsky.social · 17/12/2025

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...

leapter.com

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!

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Leapter @leapter.bsky.social · 16/12/2025

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...

leapter.com

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.

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Leapter @leapter.bsky.social · 15/12/2025

“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...

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Leapter @leapter.bsky.social · 11/12/2025

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...

youtube.com

Black Box or Glass Box? The only way to reliable Enterprise AI. | Leapter

YouTube video by Leapter

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Leapter @leapter.bsky.social · 09/12/2025

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...

youtube.com

Build Deterministic AI Tools for Reliable AI Agents: Leapter + n8n Demo

YouTube video by AI with Lena Hall

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Leapter @leapter.bsky.social · 05/12/2025

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.

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Leapter @leapter.bsky.social · 03/12/2025

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

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Leapter @leapter.bsky.social · 02/12/2025

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...

leapter.com

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.

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Leapter @leapter.bsky.social · 26/11/2025

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...

youtube.com

Build Deterministic AI Tools for Reliable AI Agents: Leapter + n8n Demo

YouTube video by AI with Lena Hall

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Leapter @leapter.bsky.social · 25/11/2025

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...

leapter.com

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.

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Leapter @leapter.bsky.social · 03/11/2025

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...

youtube.com

Leapter @AIForTheRestOfUs 2025 in London ...

YouTube video by Leapter

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Leapter @leapter.bsky.social · 21/10/2025

#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...

leapter.com

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.

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Leapter @leapter.bsky.social · 14/10/2025

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...

leapter.com

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.

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Leapter @leapter.bsky.social · 07/10/2025

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...

leapter.com

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 ...

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Leapter @leapter.bsky.social · 30/09/2025

Big leaps in software come from clarity, not just code. 🐸 Leapter makes business logic visual & verifiable—so teams can trust what they ship.

A close-up photo of a green frog perched on a leaf. The frog is looking directly at the camera, symbolizing a clear leap forward — used here as a visual metaphor for Leapter’s mission to bring clarity and trust into software development.

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Leapter @leapter.bsky.social · 24/09/2025

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.

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Leapter @leapter.bsky.social · 22/09/2025

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.

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Leapter @leapter.bsky.social · 18/09/2025

“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.

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Leapter @leapter.bsky.social · 16/09/2025

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...

leapter.com

Mind the Gap: Why We Don’t Trust AI-Generated Code (Yet) - Leapter

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Leapter @leapter.bsky.social · 11/09/2025

Every startup begins with a moment of clarity. ✨ For Robert Werner & Oliver Welte, it was realizing AI code tools promised magic—but left teams with mistrust. Leapter isn’t another code generator. It’s a visual, AI-native way to turn intent into systems teams can trust.

Leapter co-founders Robert Werner and Oliver Welte standing together, smiling. They are dressed in business casual clothing, with a clean background, highlighting them as the team behind Leapter.

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Leapter @leapter.bsky.social · 09/09/2025

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

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Leapter @leapter.bsky.social · 04/09/2025

“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.

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Leapter @leapter.bsky.social · 03/09/2025

PitchBook asked if AI startups run on dangerous vibes more than real outcomes. That’s exactly why we founded Leapter. The bottleneck isn’t writing code. It’s trusting the logic behind it. The future isn’t vibes. It’s systems you can explain, verify & ship with confidence.

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Leapter @leapter.bsky.social · 01/09/2025

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...

Three Leapter team members sit closely around two laptops, discussing and pointing at code and documentation on the screens during a collaborative working session.

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Leapter @leapter.bsky.social · 29/08/2025

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

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Leapter @leapter.bsky.social · 27/08/2025

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

The Leapter team stands in a close huddle, arms around each other, wearing matching navy shirts that read “One Giant Leap.” Photographed from above, the group forms a circle symbolizing unity and collaboration.

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Leapter @leapter.bsky.social · 25/08/2025

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

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Leapter @leapter.bsky.social · 22/08/2025

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

leapter.com

Who Owns the Logic? Why Shared Understanding Is the Real Bottleneck - Leapter

Discover why shared understanding in software development is the real bottleneck—and how making logic visible helps teams align, trust, and ship faster.

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Leapter @leapter.bsky.social · 21/08/2025

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

leapter.com

Who Owns the Logic? Why Shared Understanding Is the Real Bottleneck - Leapter

Discover why shared understanding in software development is the real bottleneck—and how making logic visible helps teams align, trust, and ship faster.

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Leapter @leapter.bsky.social · 20/08/2025

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/...

aboutamazon.eu

Bringing transparency to AI-supported software development: How German startup 'Leapter' solves the "Black Box" problem

Leapter, a German pre-seed startup, leverages Amazon Web Services (AWS) to power its visualization platform for AI-assisted software development.

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Leapter @leapter.bsky.social · 18/08/2025

“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

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Leapter @leapter.bsky.social · 13/08/2025

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...

leapter.com

Mind the Gap: Why We Don’t Trust AI-Generated Code (Yet) - Leapter

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Leapter @leapter.bsky.social · 11/08/2025

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

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Leapter @leapter.bsky.social · 08/08/2025

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

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Leapter @leapter.bsky.social · 06/08/2025

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

leapter.com

From Idea to Trust: The Story Behind Leapter - Leapter

Learn how Leapter’s AI software development platform began, turning early doubts about AI-generated code into a tool teams can understand, validate, and trust.

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Leapter @leapter.bsky.social · 04/08/2025

What impressed AWS’s Phil Le-Brun most about Leapter? Not the tech (though that helps). The team. Their experience, scars, and clarity of mission. In this short clip, he explains why who builds it matters as much as what gets built. Watch here ↓ #AI #SoftwareDevelopment #TrustInAI #AWS #Leapter

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Leapter @leapter.bsky.social · 01/08/2025

Two big #GenAI myths: ❌ Hallucinations are decreasing ❌ AI makes dev faster Leapter Co-Founder Oliver Welte says both are wrong—and costly. The real bottleneck? Not writing code. ✨ Verifying it. ✨ 🎬 Watch the clip + tell us if this hits home. #AI #Leapter

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Leapter @leapter.bsky.social · 30/07/2025

What if you could validate before you build? At Leapter, we flip the flow: → Start with intent → Structure logic visually → Let domain experts review early Because trust doesn’t come after the code. It starts with understanding. 🤩 #AI #ProductDev #Leapter

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