Stop Babysitting AI: How to Build Systems That Don't Hallucinate or Burn Money
Most autonomous AI agents today are toys that break, hallucinate, or spiral into costly loops. Here is the battle-tested engineering blueprint we use at Wolfitway to run automated workflows that handle hundreds of thousands of tasks without a human having to intervene or worry about exploding credit card bills.
Join the waitlist
One email when it opens, with a free preview lesson. Nothing to pay now.
What you'll learn
Stop paying for runaway token loops and unconstrained model calls
Build deterministic state machines where every step is auditable and bounded
Set hard monetary spend caps and domain-level rate limiting in code
Deploy hybrid search that refuses to guess when context is missing
Process background jobs safely using PostgreSQL with zero external broker tax
What's inside
4 lessons in 1 modules
Preview Module: The Safety BlueprintThe Blueprint: Stop Runaway Loops & Add Hard Spend Limits
The Blueprint: Stop Runaway Loops & Add Hard Spend Limits
Examine the post-mortem of a runaway agent loop, build finite state machines, and set non-negotiable financial spend caps.
- 11.1 The Infinite Loop Trap: Deconstructing the $1,200 Overnight API BillWhy autonomous agent loops fail in production and how unconstrained prompt chaining burns capital without finishing tasks.22 min Free preview
- 21.2 Deterministic State Machines vs. Free-Form Agent SwarmsReplacing speculative agent loops with deterministic finite state machines (FSM) where every transition is bounded and logged.28 min Free preview
- 31.3 Hard Daily Spend Caps & Rate Limiting per DomainHow to build hard monetary circuit breakers in TypeScript & Rust that cut API traffic the millisecond a daily budget is hit.35 min Free preview
- 41.4 Grounded Retrieval: Knowing When to Say "I Don't Know"Configuring hybrid search with a strict NO_ANSWER threshold so your pipeline never fabricates responses.30 min Free preview
Questions
Straight answers about access, payment and how the course works.
Why do you reject autonomous AI agents in favor of deterministic state machines?
Autonomous agent swarms sound cool in pitch decks, but in production they are liability magnets. Without strict state machines, agents get trapped in recursive loops, re-try failed actions endlessly, and run up thousands of dollars in token bills. Deterministic pipelines give you total auditability, bounded cost, and predictable outputs.
Can I hire Dan and Wolfitway to build this for my business directly?
Yes. Through Path B, Wolfitway designs and ships custom sovereign MVPs in 4–6 weeks for a fixed €18,000 price, complete with hard spend caps, self-hosted databases, and zero SaaS rent. Book a scoping call at /book to discuss your specs.
When does it open?
The plan is Late 2026. Join the waitlist and you get one email when it opens, with a free preview lesson. No spam, unsubscribe in one click.
Dan-Ioan Drăguța
Founder of Wolfitway. 15+ years building software; today I make websites and AI video ads for clients, and I teach the exact workflow I use.