I will build a custom ai agent using langchain, autogen, or openai


About this gig
Stop prompting. Start deploying agents that work autonomously.
I build custom AI agents that plan, act, and iterate without you babysitting every step. Research agents, code-executing agents, multi-step workflow agents architected and shipped.
- LangChain / LangGraph agent pipelines
- AutoGen multi-agent systems
- OpenAI Assistants + function calling
- Tool use: web search, code execution, file I/O, API calls
- Plan-and-approve flows with human-in-the-loop steps
- Memory, state persistence, and structured outputs
- Contract-first architecture spec before code
I've shipped agentic systems with multi-step reasoning, approval gates, and modular architecture. No toy demos production-ready systems with clear handoff docs.
Deliverables: source code · architecture doc · deployment guide · 1 revision.
Get to know Joseph
AI WooCommerce, Rental Platforms, Trading Bots and Marketplaces
- FromNigeria
- Member sinceMay 2022
- Avg. response time1 hour
- Last delivery2 years
Languages
English
FAQ
What is the difference between a chatbot and an AI agent?
A chatbot only responds to prompts. An AI agent can plan, use tools (APIs, web, code execution), maintain state, and run multi-step workflows autonomously until a goal is completed.
Which framework should I use (LangChain, AutoGen, OpenAI Assistants)?
LangChain is best for custom logic control, AutoGen for multi-agent collaboration, and OpenAI Assistants for simpler setups. Choice depends on complexity, autonomy level, and deployment needs.
Can the agent take actions on external systems like email or databases?
Yes. Agents can interact with external systems via APIs (email, CRM, databases, web services). Actions are controlled through secure tool permissions and optional human-in-the-loop approval.

