Team training for small dev teams
Ship quality AI code and spend less on tokens
A hands-on training for your developers. They learn where the tokens go, when a workflow is enough instead of an agent, and how to check agent code before merge.
Book a callGet detailsAgents write more of your code. You can’t see the quality or the bill.
10–25x
more tokens used by agents than chatbots
Token bills grow as prompts get longer and the team defaults to the biggest model
Agents open pull requests too large to review properly
Agents get built for tasks a fixed workflow would do for less
Let’s fix that
What fixing token use did to one agent
−48%
cost per successful task
101 s → 23 s
response time
4 of 7
fixes had no trade-off
What your team walks away with
You know when a workflow is enough and when an agent pays off
Automated checks built into the pipeline
Tests, linting and a review guide.
Cost per task you can see
You know where tokens go to waste.
A plan for your next 3 steps
Built on your team’s processes.
A before and after for leadership
We agree on one goal and compare.
What changes for your team
Today
After
Today
Token bills keep growing as agents burn more tokens
→
After
Know what each task costs and stop wasting tokens
Today
Agent code ships with no review
→
After
Automated checks catch mistakes before merge
Today
Agents built for tasks with fixed steps
→
After
Agents only where a fixed workflow isn’t enough
Don't want to feed your data to Anthropic and OpenAI? Bring it to the call.
What the training covers
The modules come from our AI Engineer Bootcamp. The projects come from your team’s own tasks.
Module 1
LLM apps and pipelines
Models, prompts, API pipelines and MCP.
Module 2
Agents and workflows
When an agent is worth it, multi-agent systems, a pull request review agent.
Module 3
RAG on your own data
Vector search with Qdrant, query rewriting and reranking.
Module 4
Monitoring, cost and security
Langfuse, output evaluation, token tracking, guardrails and cost limits.
Module 5
Deploying to production
Docker, cloud hosting, logs and secrets.
Start with a free live workshop
Dec 19 · 7 PM GMT+2 · 2 hours
Where the tokens go: the cost of an LLM API call
Follow one request from your code to the model and back, then make a small app cheaper step by step.
Save a free seatThe training
For
Experienced dev leads with teams
Size
Up to 10 people
How long
4 weeks
Format
Practical, with live sessions
Trusted by teams at
Tell us your team's one goal
Book a call