Technovate AI
Tutorials

Hands-on guides for people who ship.

Every tutorial here comes out of work we actually did. They assume you are building something real and skip the parts that only work in a notebook.

Intermediate18 min

Production-grade tool use with Claude

Strict schemas, idempotency keys, structured errors, and the observability that makes tool calls debuggable six weeks later.

  • Tool use
  • Claude
  • Reliability

By Anand Subramanian

Intermediate22 min

How we evaluate RAG systems in production

Build the labeled query set first, measure retrieval separately from generation, and gate deploys on the result.

  • RAG
  • Evaluation
  • Retrieval

By Sana Qureshi

Beginner15 min

Building a prompt regression test suite

Turn prompt engineering from art into practice with CI-friendly evals you can run on every commit.

  • Evaluation
  • CI
  • Prompting

By Sana Qureshi

Advanced26 min

Hybrid retrieval from scratch

Combining BM25 with dense embeddings and a cross-encoder reranker — and measuring whether it actually helped.

  • RAG
  • Retrieval
  • Search

By David Okafor

Advanced20 min

Adding deterministic checkpoints to an agent

Confidence gates, policy checks, and blast-radius limits implemented in code rather than left to the model.

  • Agents
  • Safety
  • Architecture

By David Okafor

Beginner12 min

Attributing LLM spend to features and teams

Instrument token usage end-to-end so the month-end invoice stops being a surprise.

  • Observability
  • Cost
  • Platform

By Mariana Costa

Want this run against your stack?

We will build the eval harness with your team.

A fixed-scope engagement that leaves you with a working evaluation suite, running in your CI, against your own data.