AI, WITHOUT THE ADJECTIVES
AI services
Four things we are asked for. All of them are ordinary backend work with a model somewhere in the path, and they fail for ordinary backend reasons.
AI integration into existing products
A feature inside a product that already works. Model choice, prompt versioning, evaluation, and a fallback for when the provider is down.
Read more →RAG and retrieval systems
Chunking, embeddings and a retrieval step you can debug. Most bad RAG is a retrieval problem wearing a model costume.
Read more →AI agent development
Tool-calling workflows with real guardrails, timeouts and an audit trail of what the agent did on whose behalf.
Read more →LLM cost and architecture consulting
Where the tokens go, which calls can be cached or made smaller, and whether the feature needs a model at all.
Read more →