Kadlo
BETA · 10 days · $25–40k · 1 environment

Cost & Quality Sprint

Reduce inference cost and improve quality without breaking production.

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When teams use this pack

  • Inference costs are climbing
  • Latency is hurting UX
  • Quality gains feel tied to higher spend
  • Changes feel risky to ship

What you get

Before/after cost and win-rate report
Change log with measurable deltas
PRs for caching, quantization, and prompt trims
Revert path and rollback plan

What we need to start

  • Eval harness or representative test prompts
  • Router or prompt repo access
  • Latency and cost targets

We'll confirm inputs during kickoff. If anything is missing, we'll adjust scope before starting.

How the sprint runs

Day 0–1

Kickoff

  • • <48h start
  • • Scope lock
  • • Baseline metrics
Days 2–8

Iteration

  • • Iterative changes
  • • Daily run logs
  • • QA review
Days 9–10

Delivery

  • • Final validation
  • • Report + PRs
  • • Revert-ready

SLA & guarantees

SLA

  • Kickoff within 48 hours
  • Daily run log
  • On-time delivery ≥95%

Impact guarantee

If we don't deliver a measurable lift, we refund double the fee.

*Measured against agreed baseline and acceptance criteria.

Example result

−27%
inference cost
+14pts
win-rate
10 days
one environment

Results vary by system. We agree success criteria up front.

Is this pack right for you?

Good fit

  • AI apps shipping LLM features
  • Teams with baseline evals
  • Systems already in production

Not a fit

  • Research-only experiments
  • Teams without test data
  • Multi-environment rollouts

Ready to reduce cost without risking quality?

We'll confirm scope and send a one-page plan within 24 hours.

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