You will get a Claude Code agent workflow tailored to your codebase
Project details
Most Claude Code setups are configured wrong, ignored by the team, or so loose they let the AI commit dangerous things. I'll fix that.
Same configuration foundation I run on my own production SaaS: 227 API endpoints, 1,233 tests, 0 failures, 41 backend modules. All built solo using Claude Code multi-agent teams.
Three tiers:
• Quick Setup (1 wk): CLAUDE.md hierarchy, security deny lists, 1 custom skill
• Multi-Agent Workflow (2 wks): + multi-agent team config, 3 skills, MCP servers, training
• Workflow + Audit (3 wks): + AgentShield codebase security audit, 6 skills, 5 MCPs, 30-day support
This isn't theory. It's the exact workflow I ship production code with every day, applied to your codebase, your stack, your team's actual pain points.
Stack-agnostic but I work most often in Python/FastAPI and Next.js. Best fit: solo founders and small-to-midmarket teams who want to make Claude Code actually useful instead of unpredictable.
Same configuration foundation I run on my own production SaaS: 227 API endpoints, 1,233 tests, 0 failures, 41 backend modules. All built solo using Claude Code multi-agent teams.
Three tiers:
• Quick Setup (1 wk): CLAUDE.md hierarchy, security deny lists, 1 custom skill
• Multi-Agent Workflow (2 wks): + multi-agent team config, 3 skills, MCP servers, training
• Workflow + Audit (3 wks): + AgentShield codebase security audit, 6 skills, 5 MCPs, 30-day support
This isn't theory. It's the exact workflow I ship production code with every day, applied to your codebase, your stack, your team's actual pain points.
Stack-agnostic but I work most often in Python/FastAPI and Next.js. Best fit: solo founders and small-to-midmarket teams who want to make Claude Code actually useful instead of unpredictable.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Generated CodeAI Development Language
PythonAI Tools
GitHub CopilotAI Models
GPT-4What's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$6,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
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.
Additional Revision
+$200
Extra MCP Server Integration
(+ 5 Days)
+$400Frequently asked questions
About Nathan
Built a 227-Endpoint SaaS Solo Using Claude Code Agent Teams
London, Canada - 7:20 pm local time
Live proof:
227 API endpoints (279 method+path combinations)
1,233 backend tests, 0 failures, 0 skips, 75% coverage on 12,514 statements
41 backend modules across multi-tenant auth, Stripe Connect, billing, scheduling, member portal, compliance (PIPEDA/CASL), and ops
Built solo, no team, no co-founders, using Claude Code agent teams to parallelize security audits, multi-module features, and cross-layer changes
Stack: Next.js 15, FastAPI, PostgreSQL, Railway, Vercel, Cloudflare. Stripe Connect with subscriptions and metered billing. Dual-token JWT auth. Ontario cooling-off compliance baked in.
I'm not selling consulting based on enterprise engagements I haven't done. I'm selling the workflow that produced the SaaS above, applied to your codebase, your problem, your timeline.
Steps for completing your project
After purchasing the project, send requirements so Nathan can start the project.
Delivery time starts when Nathan receives requirements from you.
Nathan works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff Call
30-90 minute call depending on tier. Align on stack, current Claude Code state, workflow pain points, and what success looks like.
Foundation configuration
CLAUDE.md hierarchy (user, project, directory levels), settings.local.json with security deny lists, base workflow patterns tailored to your codebase.