What Anthropic’s Research on Self-Improving AI Means for Every Regulated Enterprise
Anthropic recently published When AI builds itself, a data-backed account of how much of the company’s own development is now handled by its models. The striking finding isn’t that Claude now authors most of the code Anthropic merges.
Why Determinism Is the Missing Piece For EU AI Act Compliance
The EU AI Act is no longer a distant regulatory concern. It applies in full from August 2026. Yet for many organizations deploying AI agents and automated decision-making tools, there is a critical gap in their compliance strategy: their AI systems are fundamentally non-deterministic.
Beyond Low-Code and Vibe Coding: Why Enterprise AI Needs a Third Category
Every other week, someone tries to put what we are building at Leapter into one of two buckets. Either it is a low-code platform with an AI front-end, or it is a vibe coding tool for business logic. Both feel close. Both miss.
Visual Programming + Literate Programming: A Better Way to Build Business Logic With AI
AI coding agents can generate working software from a few sentences of natural language.
Why Your AI Agents Can’t Pass an Audit (And How to Fix It)
You’ve deployed an AI agent to handle loan pre-screening, then the regulator calls your compliance officer.
AI Helped Me Build It…But I Don’t Know How It Works. Sound Familiar?
Vibe coding feels fast until production breaks and no one knows why.
What Does “Human-Verifiable Logic” Actually Look Like?
Why clarity matters more than code when building trustworthy AI systems.
Who Owns the Logic? Why Shared Understanding Is the Real Bottleneck
AI writes code faster, but doesn’t fix the handoffs that cause misalignment.
Using Leapter with Langflow: Giving AI Agents a Logic Layer They Can Trust
AI agents are great at talking to users, less reliable at pricing, eligibility checks, or anything exact.
Why Agents Fail at Logic (and How to Fix It)
AI agents can write code, summarize documents, plan tasks, and even run commands.