From the Lab
Practical insights on building reliable AI systems, migration guides, and real-world lessons from production deployments.
When the Promise of AI Meets Reality
Most AI projects fail not because the technology isn't ready—but because the approach is wrong. Here's the story behind RakanLabs and why we do things differently.
From REST to Agentic: A Pragmatic Migration Guide
Learn how to migrate your traditional REST API integrations to autonomous AI agents without breaking production. Real patterns, common pitfalls, and rollback strategies.
From the Lab: Why Your AI Agent Keeps Hallucinating Production Data
Three weeks of debugging revealed a counter-intuitive pattern: more context made our agent worse. Here's what we learned about effective agent memory management.
Tool Simplification Pattern: Reducing AI Cognitive Load
How we achieved a 71% reduction in AI decision-making burden by encoding intent in tool names instead of parameters.
ToolGRPO: Teaching LLMs to Use Tools Through Reinforcement Learning
How we modified GRPO to train language models to solve complex problems by writing and executing code—and what we learned along the way.