Protocol SPR-001 — Controlled Proof
Prove one AI workflow before you fund production.
CodyHire gives product and technology leaders a controlled working prototype, acceptance evidence, and a production roadmap in 10 business days. If the proof is strong, the same U.S.-based team can build the production system.
AI Proof Sprint — $5,000 fixed, 50% to start. The Proof Sprint produces a controlled working prototype. It does not include a production application, live pilot, SLA, or formal compliance.
One decision at the end: build, revise, or stop.
You have an AI use case that could change your product, operations, or business model. What you do not have yet is the evidence to justify a production investment. CodyHire narrows the first commitment to one bounded workflow, one controlled prototype, and one decision: does the evidence support building, revising, or stopping?
The sprint produces working proof in a sandbox or controlled environment. It documents what worked, what did not, and what would still be required for production. The result is a clearer next step — not a premature production promise.
Start with proof. Build when the evidence is strong.
AI Proof Sprint
- Start here if the core AI behavior, data fit, or integration feasibility is uncertain.
- Controlled working prototype, acceptance evidence, feasibility findings, production roadmap, and estimate.
- 10 business days
- $5,000 fixed
- 50% at signing, 50% before final handoff
AI Production Build
- Start here if the use case is validated and the team needs a live production system.
- Architecture, application logic, integrations, controls, deployment, documentation, and handoff.
- Depends on scope; fixed plan after discovery
- Starts at $15,000
- 30% deposit at signing
A production system rescued and launched in less than two months.
Modern Mechanic
Owner confirmedCodyHire Team was extremely knowledgeable, was able to get me going on the right track and understand, discover and solve problems I didn't even know were present. They were very responsive, would definitely work with them again!— Jordan Lemm, Founder, Modern Mechanic
A prototype is not a pilot or a production system.
A controlled prototype demonstrates core behavior in a sandbox. A pilot runs with real users under monitored conditions. A production system operates live with security, monitoring, failure handling, and ongoing support.
The Proof Sprint delivers the first. If the evidence supports proceeding, the separately scoped Production Build delivers the third. The second — a pilot — may be part of a Production Build where real-user exposure is required.
This is not a semantic distinction. It determines what you can rely on at each stage and what remains to be built.
U.S.-based delivery with one decision owner per engagement.
CodyHire is a U.S.-based AI development partner. Every engagement has a defined decision owner who can approve scope, feedback, and payment. There are no account managers, no handoffs to offshore teams, and no hidden layers.
Location: CodyHire LLC, Pleasant Grove, Utah. Remote delivery throughout the United States.
A strong fit if you can answer yes to these questions.
Good fit
- Do you have one specific AI workflow, product interaction, or agent behavior to test?
- Can you name the intended user and the action or decision AI should support?
- Do you have relevant sample data, content, API access, or system access available?
- Is there a clear question the proof must answer and acceptance criteria that can be observed?
- Can a decision and payment owner participate during the 10-business-day sprint?
- Is the $2,500 signing deposit within budget?
Probably not a fit
- You expect a complete production application from the Proof Sprint.
- You need to test several unrelated ideas in the same engagement.
- The work requires a large data-cleaning, model-training, or legacy-integration program.
- You need production availability, enterprise security, formal compliance, or an SLA.
- You need guaranteed ROI, adoption, funding, revenue, or cost savings.
Next decision
Ready to turn one AI workflow into tested proof?
Book a 20-minute fit call. Discuss the intended user, the action or decision AI should support, the data or systems available, and what the proof must help you decide.