I will build ai agents and llm automation for your business app


About this gig
AI agents that actually do the work - inside the app your business already runs on.
Most AI agent developers hand you a standalone script or an n8n workflow you now have to maintain. I build agents into your existing backend, using your models, your auth and your database.
WHAT I BUILD
- Task agents that process documents, categorise tickets, draft replies and extract data
- Support agents trained on your own content using RAG
- Multi-step agents that call your internal APIs and take real actions
- LLM features inside your app: summarisation, search, classification, generation
- OpenAI, Claude and open-model integrations with proper error handling
- Queue-backed processing so long jobs never block your app
BUILT PROPERLY, NOT DEMOED
Retries, rate limiting, token cost logging and fallbacks when a model fails. Prompt logic lives in version control, not pasted into a dashboard.
Laravel, PHP 8, Python, OpenAI and Anthropic APIs, vector search, queues, REST APIs.
Tell me the task you want automated and what system it lives in. I will tell you honestly whether an agent is the right tool before you spend anything.
Get to know Muhammad Shoaib
Laravel Developer, MCP Servers and AI Agents
- FromPakistan
- Member sinceJun 2023
- Last delivery2 years
Languages
Pashto, Urdu, English, Hindi
My Portfolio
FAQ
What's included in your packages?
All packages include: Initial consultation Feature prioritization Custom coding Testing and debugging Delivery of a fully functional app Additional features like API development or database integration may impact pricing.
What platforms do your apps run on?
They support Windows, macOS, and Linux.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent acts - it calls your APIs, updates records and completes multi-step tasks on its own. I build both, but agents are where the real time savings are.
How do you keep the AI API costs under control?
Token logging on every request, caching for repeated queries, and routing simple tasks to cheaper models. You will see exactly what each feature costs to run.

