Working AI/ML prototype in 1-2 Week: Architecture, Demo, RoadmapLester Reynolds
The difference: I don't sell hours or make promises. I deliver working code with acceptance tests. Changes mid-project? Either Swap features of equal complexity (free) or Add new scope as a separate milestone (priced upfront). No surprises, no scope creep.
What's included
Full prototype + architecture + roadmap + cost breakdown
You will get a working AI/ML prototype in 2-4 weeks that proves your concept works, plus complete architecture documentation and a full production roadmap with costs. No vague estimates - you know exactly what you're paying for and what you'll receive.
I've built TherapyKin (therapykin.ai) with 121+ production deployments, La Serenissima with 97 autonomous agents, and a $7M trading bot managing real capital. My work is in production at scale, not just demos.
Here's how Evidence Sprint works: You tell me the problem. I build ONE core feature as a working prototype. You get architecture docs, code with tests, a 90-second demo, and a detailed roadmap showing exactly what it takes to go from prototype to production. If you decide to build the full system, the prototype cost applies as credit toward Milestone 1.
The difference: I don't sell hours or make promises. I deliver working code with acceptance tests. Changes mid-project? Either Swap features of equal complexity (free) or Add new scope as a separate milestone (priced upfront). No surprises, no scope creep.
Every project includes clean code, documentation, and a handoff that doesn't leave you stuck.
FAQs
Fixed-price removes billing uncertainty. You know the exact cost upfront and pay only when acceptance tests pass. If tests fail, I fix until they pass at no extra charge. The outcome is defined, not the hours, so no surprises.
Changes go through Swap or Add. Swap: Replace a feature with one of equal complexity at no charge (example: switch from web UI to Slack integration). Add: New feature becomes a separate milestone, priced upfront before work starts. This prevents scope creep while staying flexible. You still pay only when tests pass. Most changes are Swaps, which cost nothing.
Before starting, we co-write acceptance criteria - specific, testable requirements the prototype must meet. Example: "Answers 80%+ of questions correctly when tested with 100 sample queries" or "Processes 50 documents in under 2 minutes." I build automated tests for these criteria. You see test results (pass/fail) before final payment. If tests fail, I fix until they pass - included in the price. No guessing if it's done.
The prototype is production-quality code (clean, documented, tested) but scoped to prove ONE feature works. You won't rebuild - you'll extend it. Part of your deliverable is a detailed roadmap showing exactly what's needed to scale from prototype to full production: additional features, infrastructure setup, performance optimization, deployment, monitoring. Most clients use the Advanced tier or add Production Deployment as an add-on to go live immediately.
That's what acceptance criteria prevent. We define success metrics upfront - you write the tests. If the prototype fails those tests, I don't get paid until it passes. But if you mean "what if the approach itself is wrong?" - that's discovered in Week 1 during requirements workshop. If I identify a blocker (technical limitation, data issue, cost too high), I tell you immediately with alternatives. You never pay for work that can't succeed. Transparency over surprises.
Starting at$3,000
Duration1 week
Tags
ChatGPT
Claude
AI Automation
ML Engineer
Prompt Engineer
Service provided by
Lester Reynolds Lyon, France
Working AI/ML prototype in 1-2 Week: Architecture, Demo, RoadmapLester Reynolds
Starting at$3,000
Duration1 week
Tags
ChatGPT
Claude
AI Automation
ML Engineer
Prompt Engineer
The difference: I don't sell hours or make promises. I deliver working code with acceptance tests. Changes mid-project? Either Swap features of equal complexity (free) or Add new scope as a separate milestone (priced upfront). No surprises, no scope creep.
What's included
Full prototype + architecture + roadmap + cost breakdown
You will get a working AI/ML prototype in 2-4 weeks that proves your concept works, plus complete architecture documentation and a full production roadmap with costs. No vague estimates - you know exactly what you're paying for and what you'll receive.
I've built TherapyKin (therapykin.ai) with 121+ production deployments, La Serenissima with 97 autonomous agents, and a $7M trading bot managing real capital. My work is in production at scale, not just demos.
Here's how Evidence Sprint works: You tell me the problem. I build ONE core feature as a working prototype. You get architecture docs, code with tests, a 90-second demo, and a detailed roadmap showing exactly what it takes to go from prototype to production. If you decide to build the full system, the prototype cost applies as credit toward Milestone 1.
The difference: I don't sell hours or make promises. I deliver working code with acceptance tests. Changes mid-project? Either Swap features of equal complexity (free) or Add new scope as a separate milestone (priced upfront). No surprises, no scope creep.
Every project includes clean code, documentation, and a handoff that doesn't leave you stuck.
FAQs
Fixed-price removes billing uncertainty. You know the exact cost upfront and pay only when acceptance tests pass. If tests fail, I fix until they pass at no extra charge. The outcome is defined, not the hours, so no surprises.
Changes go through Swap or Add. Swap: Replace a feature with one of equal complexity at no charge (example: switch from web UI to Slack integration). Add: New feature becomes a separate milestone, priced upfront before work starts. This prevents scope creep while staying flexible. You still pay only when tests pass. Most changes are Swaps, which cost nothing.
Before starting, we co-write acceptance criteria - specific, testable requirements the prototype must meet. Example: "Answers 80%+ of questions correctly when tested with 100 sample queries" or "Processes 50 documents in under 2 minutes." I build automated tests for these criteria. You see test results (pass/fail) before final payment. If tests fail, I fix until they pass - included in the price. No guessing if it's done.
The prototype is production-quality code (clean, documented, tested) but scoped to prove ONE feature works. You won't rebuild - you'll extend it. Part of your deliverable is a detailed roadmap showing exactly what's needed to scale from prototype to full production: additional features, infrastructure setup, performance optimization, deployment, monitoring. Most clients use the Advanced tier or add Production Deployment as an add-on to go live immediately.
That's what acceptance criteria prevent. We define success metrics upfront - you write the tests. If the prototype fails those tests, I don't get paid until it passes. But if you mean "what if the approach itself is wrong?" - that's discovered in Week 1 during requirements workshop. If I identify a blocker (technical limitation, data issue, cost too high), I tell you immediately with alternatives. You never pay for work that can't succeed. Transparency over surprises.
$3,000