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Yasir ShabbirFull-Stack AI Developer
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Custom AI Agents

An AI agent doesn’t just answer — it does: reads the invoice, checks the system, updates the record, drafts the reply, and asks a human only when judgment is genuinely required.

I build custom agents with tool access to your real systems (email, CRM, databases, internal APIs), explicit permission boundaries so they can’t act outside their lane, and human-approval gates on anything irreversible. Recent patterns include research agents that assemble briefings, ops agents that triage inboxes, and data agents that watch for anomalies. When a workflow needs judgment plus repetition, an agent is usually cheaper than either a human or a rigid automation.

What's Included:

AI Agent Architecture Design
Task & Goal Definition
LLM Integration & Fine-Tuning
Tool & API Integration
Autonomous Decision Making
Memory & Context Management
Multi-Step Task Execution
Error Handling & Safety
Performance Monitoring
Continuous Optimization
Custom AI Agents

Payment Security

50% Deposit: To start the work.
50% Final: Only when you are 100% satisfied.
Full Refund: Available if I don't meet the agreed goals.

Why Choose My Custom AI Agents Services?

I deliver exceptional results with a focus on quality, performance, and client satisfaction.

Automate Complex Tasks

AI agents go beyond Q&A — they execute multi-step workflows, interact with APIs, and complete tasks that previously required human effort.

Intelligent Decision Making

Your agent analyzes data, evaluates options, and makes smart decisions based on your business rules and objectives.

Tool & API Integration

Connect your agent to CRMs, databases, email, spreadsheets, and any API — it becomes the central hub that orchestrates your tools.

Continuous Learning

With long-term memory and feedback loops, your agent improves over time, learning from each interaction to deliver better results.

Steps for completing your project

1

After purchasing the project, send requirements so I can start the project.

Delivery time starts when I receive requirements from you.

Task descriptions, data sources, integration requirements, business logic
2

I work on your project following the steps below.

Revisions may occur after the delivery date.

Task & Goal Analysis

I work with you to define exactly what the agent should do — the tasks it automates, the decisions it makes, and the tools it needs access to.

Architecture Design

I design the agent's architecture including reasoning chains, tool integrations, memory systems, and safety guardrails to ensure reliable operation.

Agent Development

I build the agent using LangChain or custom frameworks, integrating LLM reasoning with your APIs, databases, and business logic.

Safety & Testing

I implement comprehensive error handling, permission controls, and safety limits, then test the agent against edge cases and failure scenarios.

Deployment & Monitoring

I deploy the agent with full logging and monitoring, then iterate based on real-world performance and your feedback.

3

Review the work, release payment, and leave feedback.

What if I'm not happy with the work?

Frequently Asked Questions

Common questions about this service

A chatbot answers questions. An AI agent takes action — it can search databases, send emails, update spreadsheets, and execute multi-step workflows autonomously. It's the difference between asking and doing.

I build multiple safety layers: permission controls, action confirmations for critical tasks, output validation, and human-in-the-loop approval for high-stakes decisions. The agent operates within strict boundaries you define.

Any system with an API — CRMs like Salesforce, databases, Google Workspace, Slack, email, payment processors, and custom internal tools. I build custom integrations for any platform.

Absolutely. Multi-step reasoning is a core strength of AI agents. They can break complex goals into subtasks, execute them in sequence, handle errors along the way, and deliver the final result.

Permissions first, intelligence second. The agent only receives tools for actions it's allowed to take — it physically can't touch systems it has no credentials for. Within its lane, risky operations (sending external email, changing records, spending money) sit behind human-approval gates, every action is logged for audit, and rate limits cap the blast radius of any mistake. You define the boundaries; the agent works inside them.

Ready to Get Started?

Let's discuss your project requirements and create something amazing together.