Freelancers using Fly.io in San Francisco
Freelancers using Fly.io in San Francisco
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Keaton Williams
San Francisco, USA
AI Automation Consultant & Strategist
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AI Automation Consultant & Strategist
23
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.
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Numun.io AI Platform Overview
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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.
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Using AI Builder in Agent Studio, I designed and generated a multi-step workflow that orchestrates agents, tools, conditionals, loops, and parallel execution in a single graph. The workflow interprets user input, plans tasks, executes actions via integrated tools, and produces structured outputs, fully autonomously. It’s a powerful example of moving from AI-generated plan to real-world actionable execution.
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