Token-maxing
Expensive models handle tasks a cheaper path could solve. This pattern costs companies millions — Nadella calls it token-maxing.
AI spend keeps rising.But what is it buying?
The bill grows — and nobody can say what it bought. Thinkery connects context, cost, and outcome so every franc becomes a traceable decision.
LeanCTX proves the approach: 195k+ installs · 3.3k+ GitHub stars · 50%+ measured compressionThe bill grows. Nobody sees what it buys.
Uber burned its entire 2026 AI budget in four months. One company spent $500 million on Claude in a single month. Per-token prices fell 280×, yet total bills keep rising. The pattern repeats because spend and outcomes never meet.
Spend without proof
The invoice shows how much was consumed — not what it produced. No workflow maps to a measurable outcome.
Knowledge lost per session
Every person and agent pays to rediscover what the organisation already learned. Knowledge disappears — and gets paid for again and again.
Spend becomes knowledge. Knowledge becomes value.
Where AI spend loses value.
Whether context is too broad, the invoice explains nothing, knowledge disappears, or boundaries are missing — the first step starts where the biggest lever is.
01
Context control
Expensive models handle tasks a more targeted path could solve. Thinkery shows what an agent actually needs to read — and what it can skip.
See the approach02
AI value
Spend alone explains nothing. Thinkery connects every franc to the outcome it produced.
See the approach03
Organisational memory
Every session pays for the same lesson again. Thinkery retains evidence, decisions, and outcomes as reusable knowledge.
See the approach04
Governance
Without clear boundaries, too much context flows into the wrong models. Thinkery makes the path from input to output auditable.
See the approachLess in. More out.
Before an agent starts, the relevant context is selected: code, documents, prior decisions. Fewer tokens, the right model, a traceable path.
Talk to us- Repository
- 8,420
- Documentation
- 3,180
- Decision history
- 2,960
intent selects
- Auth module
- 1,280
- Security docs
- 420
- Prior decisions
- 310
Costs become decisions.
Usage, cost, model, context, quality, and outcome — all in one view. An invoice becomes a decision basis, not just a number.
Talk to usCHF 42.80AI spend
context + model
136measured outcomes
| Workflow | Spend | Measured outcome |
|---|---|---|
| Customer support | CHF 14.20 | 94 cases resolvedCHF 0.15 / case |
| Product discovery | CHF 16.80 | 8 opportunities validatedCHF 2.10 / opportunity |
| Proposal copilot | CHF 11.80 | 34 proposals preparedCHF 0.35 / proposal |
Quality threshold met: 92.6%−18.4% cost per outcome
Learned once, available forever.
Evidence, decisions, and outcomes stay connected. What the organisation learned once is available to the next workflow — instead of being paid for again.
Talk to usRemembered for the next session · Product · Support · Sales
Proven early. Adopted globally.
Common questions.
What companies want to know before changing an AI workflow.
FinOps dashboards show consumption. Thinkery connects that consumption to the specific task, its context, and its outcome. The difference: not just what you spend — but what it produced.
A pilot starts with one real workflow. Within days you see the current context volume, cost, and outcome — and the same workflow with more deliberate context, side by side.
Thinkery stores the connections between evidence, decisions, and outcomes. New team members and agents get the context, not just a summary. One-time effort becomes lasting knowledge.
You bring a workflow. Together we capture the current cost, context volume, and outcome. Then we run the same workflow with more deliberate context and measure the difference.
Bring us one workflow.The rest reveals itself.
A conversation starts with real work. No slides, no roadmap promises. Instead: listen, ask the hard questions, and figure out together whether Thinkery can make a measurable difference.