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services

 the productized version of the validation-engineering practice · pricing visible

The practice, productized.
Four rungs. Enter where it fits.

Here is the offer: I take the lessons and methodologies I've learned about getting reliable code from AI in my own work and apply them to your studio. There are four scopes: an audit, a sprint, a retainer, or a full build. Each is fixed in scope and price. Each feeds the next. If you'd like a completely custom approach to fit your studio's unique needs, let's start with an audit and go from there.

AI can write the code.
It can’t ship the game.


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ladder
Rung 1

AI Adoption Audit

$5,000flat
1 week · remote · async

Delivered

  • Discovery interviews with 5–7 engineers and 1–2 leaders
  • Review of current AI tooling usage and per-engineer cost
  • Diagnostic of where validation infrastructure is missing or weak
  • Written prioritized-recommendations report
  • 60-minute readout call with the leadership stakeholder

Best entry rung when — you rolled out one or more AI coding tools and the productivity gain you expected isn’t visible in the data, or the review bottleneck has stopped scaling. The Audit provides specifics on how we can improve code reliability, in priority order, in one week.

Rung 2

Implementation Sprint

$15,000flat
2 WEEKS · REMOTE · ON-SITE FOR ADDITIONAL FEE

Variants · pick one at scoping

A · CONTEXT ROLLOUT
Claude Code/Codex context rollout to a 5–15 person engineering team that enforces your standards and best practices.
B · WOOD-FIRED-TASKS ROLLOUT
On-prem install of wood-fired-tasks with onboarding for your team to fit your workflows.
C · TELEMETRY ROLLOUT
Private on-prem telemetry storage and capture daemons for your AI tools with AI vendor-neutral oversight dashboards.
D · COMMIT VALIDATION ROLLOUT
AI-focused automated testing, CI/CD, and validation agents added to your GitHub-based codebase.

Best entry rung when — you already know which problem to solve and want a working, shipped answer in two weeks. The Sprint installs the validation-engineering pattern at MVP scope and produces a deliverable, not a recommendation.

Rung 3

Fractional Field CTO

$22,500/month
20 hr/wk · 3-month minimum

Delivered, monthly

  • Architecture review of AI-assisted work and agent-authored PRs
  • Engineering insights observed in AI telemetry data
  • Workflow refinement and tooling expansion strategy
  • Executive-level updates with measurable metrics
  • Network on retainer for warm intros (AAA studios, AI-adjacent founders)

Best entry rung when — you need senior bench depth without a permanent hire, and the work spans multiple workflows over multiple quarters. Capacity is hard-capped on simultaneous retainers to preserve delivery quality.

Rung 4

Custom Build

from $75,000
scoped against your problem

EXAMPLE BUILDS

  • Full on-prem telemetry stack tying AI token consumption to your specific work outputs.
  • Custom AI usage dashboards that display exactly the data you want to see.
  • Custom built wood-fired-tasks style orchestration added to your existing task system.
  • Agent-driven automation systems integrated into your existing pipelines.
  • Agent-driven automated code and asset compliance audits.

Best entry rung when — you have platform-disclosure obligations (Steam, PS, Apple, Google), publisher contractual obligations, or EU AI Act exposure, and you need governance built into your own stack rather than a vendor's. Pricing is the starting floor — SoW writes the ceiling.

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process

How it goes.

01 · Intro call
30 minutes. We confirm the trigger event, the budget tier, and which rung fits. If it isn't a fit, I tell you fast and refer.
free · 30 min
02 · SoW
Standard SoW template adapted to your scope. Fixed price at Rungs 1–2; monthly at Rung 3; milestone-billed at Rung 4 with half of 1st payment due at signing.
2 business days
03 · Engagement
Async-default with one weekly sync per active week. Bring your engineers; I'll bring the floor.
1 wk → 3+ mo
04 · Handoff
Written deliverable, dashboards your team can run, a checklist your CTO can audit against. No black boxes.
included
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who

Who I work with — and who I don't.

Fits
  • Game studios — indie-at-scale, mid-AAA, AAA
  • Adjacent tech: publisher tools, gaming-infra companies
  • 20–500 engineers; consulting budget present
  • CTO / VP Eng / Director of Engineering as buyer
  • CISO / Compliance for the provenance offering specifically
Doesn't fit
  • Pure AI labs (you have the people in-house)
  • Series-A startups under 10 engineers
  • Non-engineering buyers (CMO, sales VP)
  • Vague-AI engagements without a named workflow or metric
  • Full-time relocation (unless frontier-AI, with comp to match)
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next steps

Ready to scope something?

Schedule a 30-minute intro call now using the Google Calendar link or send me an email at stuart@woodfiredgames.com.

Schedule Now