You will get Claude Code setup and team enablement: CLAUDE.md, subagents, hooks, MCP
Project details
Most Claude Code work sold here is tool setup. That is rarely what is actually wrong.
The pattern in teams that stalled: adoption looks fine, pull request throughput is up sharply, and the delivery metrics have not moved at all. The bottleneck did not disappear — it moved into review. Meanwhile the CLAUDE.md has grown past the point where the model reads it carefully, so answers get more generic, so engineers reach for it less.
So I start by reading what you already have: memory files, permission rules, hooks, MCP servers, and how the team actually works day to day. You get a written 30-day plan before anything is configured — including the parts outside the tier you bought.
Then the setup itself: memory rewritten tight, guardrails your security team can sign off on, and the work your team repeats turned into skills and subagents committed to your repo. Then we run real tickets together on your codebase, and cost tracking and usage analytics go live so you can answer in thirty days whether it helped.
I run Claude Code daily with parallel agents on my own production codebases. This is my working setup, not a course.
The pattern in teams that stalled: adoption looks fine, pull request throughput is up sharply, and the delivery metrics have not moved at all. The bottleneck did not disappear — it moved into review. Meanwhile the CLAUDE.md has grown past the point where the model reads it carefully, so answers get more generic, so engineers reach for it less.
So I start by reading what you already have: memory files, permission rules, hooks, MCP servers, and how the team actually works day to day. You get a written 30-day plan before anything is configured — including the parts outside the tier you bought.
Then the setup itself: memory rewritten tight, guardrails your security team can sign off on, and the work your team repeats turned into skills and subagents committed to your repo. Then we run real tickets together on your codebase, and cost tracking and usage analytics go live so you can answer in thirty days whether it helped.
I run Claude Code daily with parallel agents on my own production codebases. This is my working setup, not a course.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI-Generated Code, AIOpsAI Development Language
PythonAI Tools
GitHub CopilotAI Models
OpenAI CodexWhat's included
| Service Tiers |
Starter
$290
|
Standard
$980
|
Advanced
$2,900
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 2 | 4 | 6 |
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
+$120 - $590
Additional Revision
+$90
Live working session — 90 minutes on your own codebase
+$390
Security & governance pack
(+ 2 Days)
+$590
Second repository — the full setup applied to another codebase
(+ 3 Days)
+$490Frequently asked questions
About Hasan
AI Automation Engineer | AI Agents, Claude Code, n8n & LLM Integration
Dubai, United Arab Emirates - 8:39 am local time
Full-stack engineer, building with LLMs since 2021. I run an AI-native studio and shipped my own SaaS to production (Codaiq, an AI website builder) — so I build things that handle real traffic, not screenshots for a pitch.
What I do:
AI agents & automation — n8n/Make connected to your CRM, with error handling that doesn't break in week two
LLM integration — Claude & OpenAI built into your systems: RAG on your own data, evals and guardrails before launch
Production rescue — your Lovable/Bolt/Cursor app works in the demo but isn't safe to launch? I make it production-ready: auth, security, deployment
Fixed price, fixed date, working version in week one. Based in Dubai, full overlap with European hours. English, German, Turkish.
Send me what's breaking — you'll get a free 15-min review and a fixed quote.
Steps for completing your project
After purchasing the project, send requirements so Hasan can start the project.
Delivery time starts when Hasan receives requirements from you.
Hasan works on your project following the steps below.
Revisions may occur after the delivery date.
Audit the setup you have now
I read your CLAUDE.md, permission rules, hooks and MCP servers, and look at how the team actually uses them. Nothing in your repo is touched. Most teams are not under-tooled – they carry config that quietly stops the model reading it.
Findings, a 30-day plan, and a rewritten CLAUDE.md
You get a short document written for an engineering lead, not a tool manual – and a rewritten CLAUDE.md as a file, annotated so you can see why every rule is there. Apply it yourself or have me wire it in.