You will get Working AI/ML prototype in 1-2 Week: Architecture, Functional Demo, Roadmap
Project details
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.
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.
AI Algorithms
Convolutional Neural Network, Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Art, AI-Generated Code, AIOps, Conversational AI, Image Analysis, Image Processing, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, StreamlitAI Models
ChatGPT, DALL-E, GPT-4, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$5,000
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 26 days |
Number of Revisions | 2 | 3 | 8 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | - | ||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,000 - $4,000
Additional Revision
+$2,000
Production Deployment Support
(+ 5 Days)
+$1,500
System Integration
(+ 10 Days)
+$2,500Frequently asked questions
About Nicolas
Software Engineer & Multi-Agent AI Specialist | ScopeLock Delivery
Lyon 05, France - 10:59 am local time
Founder with La Serenissima (130+ persistent AI agents, 3+ months live), Terminal Velocity (1,051 GitHub stars), and Civocracy (€1M+ raised, successful exit). I build production systems through clear acceptance criteria, Evidence Sprints, and public proof.
Not a traditional freelancer - founder between ventures doing strategic delivery sprints.
WHAT SCOPELOCK DELIVERY MEANS
1. We Co-Write Acceptance Criteria
- Functional + non-functional requirements (what it does, how fast)
- Executable tests + seed data (you can verify yourself)
- Scope locked with git tag
2. Evidence Sprint (2-5 Days)
- Working demo (≤90 seconds to test)
- Quantified delta: "Signup p95: 1200ms → 280ms (↓77%), steps: 7 → 3"
- Published proof entry
3. Payment at AC Green
- All tests pass (CI green)
- Performance thresholds met
- Invoice only when complete
RECENT DELIVERIES
- La Serenissima: 130+ persistent AI agents, 50,000+ state updates/hour, 99.7% uptime
- Terminal Velocity: 1,051 GitHub stars (top 0.01% of GitHub projects)
HOW WE WORK
Phase 1: ScopeLock (Free)
- 30-60 min call, I draft acceptance criteria
- You approve scope and price
- Baseline locked
Phase 2: Evidence Sprint
- Working demo in 2-5 days
- Quantified before→after deltas
- You test and decide to continue
Phase 3: AC Green
- Full implementation
- All tests passing
- Invoice when complete
Scope Changes:
- Swap: Equal/lower complexity → €0, same milestone
- Add: New features → new milestone, priced separately
TECHNICAL STACK
Languages: JavaScript/TypeScript (15y), Python (10y), Solidity, Go, Rust
Frontend: React, Next.js, Vue, React Native, Tailwind
Backend: Node.js, FastAPI, Django, PostgreSQL, MongoDB, Redis
AI/ML: Claude API, GPT-5, custom orchestration, vector databases
Cloud: Render, AWS, GCP, Vercel, Docker, Kubernetes
THE TEAM
I work with specialized AI citizens (domain experts) handling:
- Architecture & event schemas
- Core development & acceptance tests
- Quality review & fail-loud enforcement
- Frontend, /proof UI, accessibility
This is 15 years of custom tooling + domain-specific AI infrastructure. Parallel work streams without coordination overhead.
PRICING (Fixed-Price Milestones)
Evidence Sprint: $3,000–$6,000
- Working demo (≤90s), quantified delta, published proof
- Timeline: 2–5 days
- Best for: Validate approach, test collaboration
Feature to AC Green: $5,000–$15,000
- Full implementation, tests passing, 2 weeks adjustments
- Timeline: 1–2 weeks
- Best for: Single feature, MVP, core system
Week-Scale Integration: $15,000–$35,000
- Multiple Evidence Sprints, full integration, architecture docs
- Timeline: 2–4 weeks
- Best for: Multi-feature systems, complex integrations
Minimum: $2,500
Payment: 50/50 split (baseline + AC green)
Guarantee: Pay only when tests pass. Tests fail = we fix or refund.
WHAT I PREVENT
"2 Weeks" Becomes 5 Months
→ Executable acceptance criteria define "done", not judgment calls
Scope Creep Surprises
→ Change Control: every change is Swap (€0) or Add (new price), you approve first
"Tests Pass" But It's Broken
→ You can run the tests yourself, exact command + seed data in AC.md
PERFECT FOR
✓ Startups with investor demos approaching
✓ CTOs needing AI integration with measurable outcomes
✓ Emergency rescues (previous developer disappeared)
✓ Teams wanting clear acceptance criteria and proof
NOT FOR
✗ Long-term employment or CTO search
✗ Simple WordPress/Shopify sites
✗ Pure maintenance contracts
✗ Daily standups and Jira theatre
VERIFICATION
Live Systems:
- serenissima.ai: 130+ agents running right now
- github.com/mind-protocol: 1,051 stars, daily commits
- github.com/nlr-ai: Experiments and support
- scopelock.mindprotocol.ai/proof: Public milestone record (launching Q1 2025)
First call free: I'll show GitHub commits, live systems, and draft AC.md for your project.
HOW TO START
1. Message me with brief description of your need
2. Schedule ScopeLock call (30-60 min, free)
3. Review AC.md draft
4. Approve baseline (scope locked, price locked)
5. See Evidence Sprint (2-5 days: working demo + delta)
6. Pay at AC green (when tests pass)
No hidden costs. No hourly surprises. No ambiguity about "done."
Lock the scope. Prove the value.
Location: Lyon, France (CET/CEST)
Availability: 14:00–00:00 Central European Time for calls + East America
Languages: English (native), French (native)
Steps for completing your project
After purchasing the project, send requirements so Nicolas can start the project.
Delivery time starts when Nicolas receives requirements from you.
Nicolas works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Workshop & Technical Discovery
Review your requirements, clarify use case, identify technical constraints. Define exact scope for prototype. Deliverable: Requirements summary document with confirmed success criteria.
Architecture Design & Tech Stack Selection
Design system architecture, choose AI models (GPT-4, Claude, custom), select databases and infrastructure. Deliverable: Architecture diagram + tech stack documentation with rationale.