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Leapter
@leapter.bsky.social
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/
Quickstart for your first Leapter blueprint:

docs.leapter.com/get-started/...
Quickstart - Leapter Documentation
docs.leapter.com
January 26, 2026 at 4:11 PM
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...
January 22, 2026 at 1:27 PM
Docs drop: start here if you want to build + verify a blueprint.
docs.leapter.com
What is Leapter - Leapter Documentation
docs.leapter.com
January 20, 2026 at 1:27 PM
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!
www.leapter.com
January 19, 2026 at 4:59 PM
Speed is fine for prototypes.

In production, speed without understanding is a liability.

www.leapter.com/post/ai-help...
January 14, 2026 at 3:15 PM
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.
www.leapter.com
January 12, 2026 at 3:54 PM
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.
www.leapter.com
January 9, 2026 at 8:16 PM
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...
January 8, 2026 at 12:53 PM
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...
www.leapter.com
January 7, 2026 at 3:03 PM
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...
January 6, 2026 at 6:35 PM
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. 🔗
January 5, 2026 at 2:45 PM
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...
www.mckinsey.com
December 18, 2025 at 3:29 PM
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!
www.leapter.com
December 17, 2025 at 4:58 PM
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.
www.leapter.com
December 16, 2025 at 7:10 PM
“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...
December 15, 2025 at 8:08 PM
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
www.youtube.com
December 11, 2025 at 11:18 AM
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
www.youtube.com
December 9, 2025 at 4:30 PM
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.
December 5, 2025 at 12:40 PM
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
December 3, 2025 at 1:07 PM
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.
www.leapter.com
December 2, 2025 at 1:01 PM
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
www.youtube.com
November 26, 2025 at 3:40 PM
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.
www.leapter.com
November 25, 2025 at 2:22 PM
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
www.youtube.com
November 3, 2025 at 5:41 PM
#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.
www.leapter.com
October 21, 2025 at 11:39 AM
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.
www.leapter.com
October 14, 2025 at 4:14 PM