We build conversational AI systems that actually work in production
Since 2020, we've been helping developers and teams move from experimentation to deployment. Not through quick courses or templated solutions, but through sustained mentorship that addresses your specific technical challenges.
Most people struggle with latency issues, context management, or integration problems that documentation doesn't cover. We work through those problems together, examining your codebase and making incremental improvements that compound over time.
Code-level guidance
We review your actual implementation, not theoretical examples. If your response times are slow, we identify bottlenecks. If your context window management is inefficient, we refactor it together.
Architecture decisions
Should you use retrieval-augmented generation? How do you handle state across conversation turns? We help you make informed choices based on your specific use case and constraints.
Production readiness
Building a demo is one thing. Handling edge cases, managing costs, and maintaining reliability under load requires different thinking. We focus on what it takes to ship and maintain systems.
How mentorship develops over time
Initial assessment
We examine what you've built so far, identify technical gaps, and establish realistic goals. This isn't about starting from scratch—it's about strengthening your existing work.
Structured development
Regular sessions focused on specific challenges: improving prompt engineering, optimizing token usage, implementing better error handling, or integrating with external systems.
Independent problem-solving
As you gain experience, the dynamic shifts. You tackle problems independently between sessions, and we review your solutions, discuss tradeoffs, and refine your approach.
Ongoing consultation
Even after core development, new challenges emerge. API changes, scaling requirements, or feature additions. Continued access means you have someone to consult when those situations arise.
Real development environments
