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I will build custom agentic ai workflows and autonomous agents


About this gig
What I Offer: Most AI sellers give you a "chatbot." I build Autonomous Agentsdigital employees that can research, reason, and execute tasks across your favorite tools.
My Expertise:
- Multi-Agent Orchestration: Using CrewAI or AutoGen to make agents talk to each other (e.g., a "Researcher" agent hands data to a "Writer" agent).
- Stateful Workflows: Complex, branching logic using LangGraph so the AI never loses context.
- Third-Party Integration: Connecting your agents to Slack, Gmail, Shopify, or your custom CRM via n8n or Make.
Get to know Tech Guru
Transforming brands with high converting AI Models, viral TikTok Reels UGC ads,
- FromPakistan
- Member sinceSep 2020
- Last delivery1 year
Languages
Urdu, Hindi, English, Spanish
My Portfolio
Other AI Development Services I Offer
FAQ
What is the difference between a standard Chatbot and an AI Agent?
A chatbot primarily responds to queries based on its training. An AI Agent is autonomous; it can "reason" through a goal, break it into sub-tasks, and use external tools (like your CRM, Email, or Databases) to execute those tasks without you having to prompt every step.
Which frameworks do you use for orchestration?
I primarily use CrewAI for role-based multi-agent teams and LangGraph for complex, stateful enterprise workflows that require high reliability and "Human-in-the-Loop" checkpoints. For simpler automations, I integrate with n8n or Make.
Can these agents integrate with my existing software?
Yes. I can connect agents to any software with an API (REST/GraphQL). Common integrations include Slack, HubSpot, Shopify, Google Workspace, and custom SQL/NoSQL databases. If a native integration doesn't exist, I can build a custom API wrapper.
How do you handle "hallucinations" or errors in autonomous tasks?
I implement a multi-layered validation strategy. This includes Self-Correction loops (where one agent checks another’s work), Output Parsing (enforcing JSON schemas), and Human-in-the-Loop (HITL) gates for sensitive actions like sending payments or deleting data.
Is my data safe? How do you handle privacy?
Privacy is my top priority. I follow the Principle of Least Privilege, ensuring agents only access the specific data needed for the task. For high-security needs, I can deploy Local LLMs (via Ollama or vLLM) so your data never leaves your private server.
How do I manage the API costs of these agents?
I build in "Circuit Breakers" and Token Budgets. You can set a maximum spend per task or per day. I also optimize prompts and use smaller, specialized models (like GPT-4o-mini or Claude Haiku) for routine sub-tasks to keep your operational costs low.
Do I need to provide the API keys?
For the development phase, I use my own test keys. Upon delivery, I will guide you through a secure handoff process to input your own keys (OpenAI, Anthropic, Pinecone, etc.) so you have full ownership and control over the system.

