Learn to build agents
that don't burn money.
Hands-on, live sessions for every level — from your very first LLM call to running production-grade governance across a fleet of agents. Small cohorts. Real code. Taught by practitioners.
Building Your First AI Agent
Zero to deployed in 3 hours
Never built an agent before? This hands-on workshop takes you from a blank repo to a running, cost-aware AI agent connected to a real LLM. No prior ML knowledge required.
What you'll walk away with
- Ship a working LLM-powered agent from scratch
- Understand tokens, context windows, and costs
- Set your first budget guardrail
- Get a personal code review from Oleg
Prereqs: Basic Python or JavaScript. No ML experience needed.
Token Budgeting 101
Know your costs before they know you
Most teams discover their LLM bill at month-end — when it's too late. This workshop walks through how to instrument your agents so you always know what each task costs in real time.
What you'll walk away with
- Instrument any LLM call with cost tracking
- Build a live spend dashboard in minutes
- Identify your top 3 cost culprits
- Set alerts before budgets overflow
Prereqs: Basic coding. Have used an LLM API at least once.
Multi-Agent Orchestration
Coordinate agents without losing control
Running one agent is easy. Running ten that talk to each other is where costs spiral. Learn how to design orchestration pipelines with cost visibility and circuit breakers built in.
What you'll walk away with
- Design cost-efficient multi-agent pipelines
- Implement loop detection across agent chains
- Route subtasks to cheaper models automatically
- Build a shared token budget across agent groups
Prereqs: You've shipped at least one agent to production.
Context Engineering Masterclass
Fit more signal into every token
Context windows are finite and expensive. This workshop covers pruning strategies, memory architectures, and retrieval patterns that cut costs without touching output quality.
What you'll walk away with
- Identify and strip low-signal context automatically
- Implement a semantic memory layer
- Compare 4 retrieval strategies side by side
- Benchmark quality before/after pruning
Prereqs: Comfortable with embeddings and prompt engineering basics.
Agent FinOps in Production
Govern costs at engineering scale
For teams running agents at scale — this is where you go from ad-hoc cost awareness to a proper FinOps practice: chargebacks, per-team budgets, anomaly detection, and policy enforcement.
What you'll walk away with
- Build a cost allocation model by team and feature
- Set automated kill switches for runaway agents
- Create a governance policy from scratch
- Benchmark your stack against industry baselines
Prereqs: Engineering lead or architect running agents in production at scale.
Intelligent Model Routing
Use GPT-4 only when you actually need it
Not every task needs your most powerful model. Learn how to classify requests and route them to the cheapest capable model — without any quality regression — using TokenAxe's routing engine.
What you'll walk away with
- Build a task classifier for model selection
- A/B test model quality at the prompt level
- Implement fallback chains with cost guards
- Reduce your per-request cost by 40–70%
Prereqs: Familiar with multiple LLM providers and their pricing.
The AI Agent Cost Control Playbook
A practical guide to taming LLM spend before it tames you. Real patterns, copy-paste instrumentation snippets, and a 10-point audit checklist.
- 5 token-burn patterns every team repeats
- Instrument your first agent in 30 minutes
- Model cost comparison cheatsheet (updated 2026)
- 10-point agent cost audit checklist
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Playbook
Chapter 1
Chapter 2
Chapter 3
Checklist
The format
What a workshop looks like
Live on Zoom
Interactive sessions with screen share, live coding, and breakout exercises — not a recorded lecture.
Private Discord
Each cohort gets a dedicated channel. Ask questions before, during, and after the session.
Recording included
Miss a segment? Full recording sent within 24 hours. Pro track includes async exercises too.
Calendar invite
Auto-converts to your timezone. Works with Google, Outlook, and Apple Calendar.
Oleg Balakirev
Founder, TokenAxe
Your instructor
Oleg has spent the last three years building and breaking AI agents in production — watching token bills double overnight, hunting down runaway context loops, and learning exactly where teams lose money at scale.
These workshops distill that into the practical, no-fluff lessons he wished existed when he started. Small cohorts mean you actually get answers to your specific setup — not generic slides.
FAQ
Common questions
Not sure which workshop is right?
Drop Oleg a line and he'll point you to the right track based on where you are and where you're trying to get.