You will get a Custom AI Agent That Automates Complex Tasks
Project details
I build custom AI agents that don't just answer questions — they think, plan, and execute multi-step tasks autonomously.
Give the agent a goal, and it figures out the steps: gathering data, calling APIs, analyzing results, making decisions, and delivering a final output. No manual intervention needed.
What I build:
• Research agents that collect data from multiple sources and produce reports
• Sales agents that qualify leads, analyze prospects, and draft outreach
• Document agents that extract, classify, and route information automatically
• Data agents that pull from APIs, analyze trends, and generate insights
• Support agents that diagnose issues, search knowledge bases, and resolve tickets
How it works:
The agent uses LLM reasoning combined with custom tools (APIs, databases, search, email, Slack, CRM). It plans its approach, executes step by step, handles errors, and delivers structured results.
Tech stack: Next.js, Python, LangChain, FastAPI, OpenAI/Claude/DeepSeek API, PostgreSQL, custom tool integrations.
I've built automated systems that process real-time data from multiple APIs and run 24/7 on production servers. My agents are production-grade.
Give the agent a goal, and it figures out the steps: gathering data, calling APIs, analyzing results, making decisions, and delivering a final output. No manual intervention needed.
What I build:
• Research agents that collect data from multiple sources and produce reports
• Sales agents that qualify leads, analyze prospects, and draft outreach
• Document agents that extract, classify, and route information automatically
• Data agents that pull from APIs, analyze trends, and generate insights
• Support agents that diagnose issues, search knowledge bases, and resolve tickets
How it works:
The agent uses LLM reasoning combined with custom tools (APIs, databases, search, email, Slack, CRM). It plans its approach, executes step by step, handles errors, and delivers structured results.
Tech stack: Next.js, Python, LangChain, FastAPI, OpenAI/Claude/DeepSeek API, PostgreSQL, custom tool integrations.
I've built automated systems that process real-time data from multiple APIs and run 24/7 on production servers. My agents are production-grade.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,500
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
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 |
About Kelvin
AI Integration & Full-Stack Developer | Chatbots, RAG Systems, API
Manchester, United Kingdom - 12:15 am local time
What I deliver:
→ AI chatbots & virtual assistants (Next.js + OpenAI/Claude/DeepSeek API)
→ RAG document Q&A systems with vector search & source citations
→ AI agent development & multi-step workflow automation
→ AI integration into existing SaaS platforms & legacy systems
→ Automated data pipelines & real-time processing systems
→ API integrations connecting multiple services (CRM, Slack, email, databases)
→ Full-stack web applications with AI features built in
→ n8n / Zapier / Make automation workflows with AI
My background is in building real-time systems that handle live data. I've independently designed and deployed automated bots that process market data from multiple API sources (REST + WebSocket), execute decisions based on custom logic, and run 24/7 on VPS infrastructure. This means I understand production reliability — not just getting code to work, but keeping it running.
Tech stack: Next.js, React, TypeScript, Node.js, Python, FastAPI, LangChain, PostgreSQL, Supabase, Pinecone, OpenAI API, Claude API, DeepSeek API, Vercel AI SDK, WebSocket, Docker, Linux/VPS deployment.
I respond fast, deliver faster, and write clean code with documentation.
Steps for completing your project
After purchasing the project, send requirements so Kelvin can start the project.
Delivery time starts when Kelvin receives requirements from you.
Kelvin works on your project following the steps below.
Revisions may occur after the delivery date.
Agent Design & Tool Planning
I map out the agent's workflow, define which tools it needs, plan the reasoning chain, and confirm the approach with you.
Build Agent & Integrate Tools
Build the AI agent with multi-step reasoning, connect all tools and APIs, and share a working prototype for your review.