AI Agent Development Projects in San MateoAI Agent Development Projects in San MateoAlter Ego is a personalized AI assistant I built and deployed on my website using OpenAI’s ChatGPT. It’s designed to represent how I think and work, not just answer questions. The system uses a structured persona, curated knowledge from my research and projects, and context-aware prompting to hold accurate, grounded conversations about my background in AI, robotics, and agentic systems. The goal is not imitation for novelty, but continuity: enabling clear, truthful interaction with my work, ideas, and problem-solving approach even when I’m not present.
Please check out the demo on my website:
https://amirmohaddesi.github.io/ In Numun.io (http://Numun.io), workflows are first designed and validated in Agent Studio as structured, multi-step graphs—made up of agents, tools, conditionals, loops, and outputs. Once a workflow is complete, it doesn’t live in isolation.
By toggling the workflow on in Agent+ Mode, users can execute that same workflow directly from the AI chat interface.
Instead of receiving a simple text response, the AI runs the full workflow behind the scenes and returns structured run results, including tool outputs, decisions taken, and final outcomes.
The result is an AI experience that goes beyond conversation, turning chat into a live interface for executing and inspecting real autonomous workflows.
In this example, Python code is generated and executed via Fly.io (http://Fly.io), returning a structured summary of results. AI Builder + Agent Studio is a system for designing, testing, and deploying AI agents and autonomous workflows as structured, production-ready graphs, not fragile prompts.
At the core is Agent Studio, where workflows are defined as explicit graphs made up of agents, tools, conditionals, loops, routers, and outputs.
The AI Builder sits on top of this system and generates complete workflows automatically. Instead of writing code or wiring nodes manually, users describe the goal—and the AI Builder constructs a valid workflow graph.
Every workflow can be tested using a test harness, ensuring agents execute correctly before deployment.
This project demonstrates how AI agents can be treated like real software systems—versioned, validated, and orchestrated—instead of one-off prompt chains. Numun.io (http://Numun.io) is an autonomous agent and workflow execution platform designed to turn intent into action—reliably, securely, and at scale.
Numun enables users and teams to design, deploy, and run AI-powered agents and workflows that browse the web, call tools, orchestrate systems, and complete real tasks end to end. At its core is a contract-based execution model that emphasizes determinism, observability, and accountability—bringing production-grade discipline to AI agents.
Numun is built for developers, operators, and founders who need agents that actually work in the real world—not demos that break under pressure.
This project includes full-stack platform development, execution infrastructure, agent runtime design, workflow orchestration, and system-level reliability engineering. 
