Model routing. Token minimisation. Prompt caching. Free provider switching. We audit your stack and cut costs. From £249.
Most AI bills leak tokens in four places — and none of them are the model price itself.
1. Tool output flooding. Every tool response gets fed back to the model, even the 90% you don't need. Filter it — only pass the useful part. This alone cuts a huge chunk of spend.
2. Conversation fluff. Every turn re-sends the whole chat history, including the "sure, let me look at that" filler. Strip the chit-chat; keep only real context.
3. Overbuilding. Asking for the full solution when you need a first draft. Scope the work down and the tokens follow. Stop gold-plating every task.
4. Expensive models for grunt work. Using the top model for tasks a cheap one handles fine. Route the grunt work to free or budget models and save the frontier model for the work that needs it.
Fix all four and you're at 80% less spend with the same output. That's the whole game.
From the same course: cache prompts that repeat, batch similar tasks in one call, keep context windows tight, use the smallest model that passes, set token caps per task, monitor per-agent spend, switch providers when rates drop, and review monthly what actually got used.
Most businesses recover 50-80% of their AI bill in the first month once these are wired in.
Short, attention-grabbing titles for this topic:
Most clients see 50-80% off their AI bill in the first month. The audit finds the leaks, the Cost Stack fixes them.
No — the trick is matching the model to the task. Grunt work on budget models, complex work on frontier. Output quality stays, spend drops.
The same principles apply: tighter context, less fluff, right tool per job. We audit whatever stack you run.
Yes — the Cost Stack package configures model routing, caching, and failover for you. You get a monthly savings report.