Freelancers using Fly.io in San Francisco
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Keaton Williams
PRO
San Francisco, USA
I turn complex ideas into real, scalable software.
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I turn complex ideas into real, scalable software.
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Numun.io AI Platform Overview
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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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Picture a workflow that captures information, remembers it, and then sends you insights automatically. Your input is stored in memory, so over time the workflow builds a growing knowledge base. Whenever you want, the workflow can retrieve all stored memories and create a concise summary, distilling the key points without you having to dig through everything. Once the summary is ready, it’s sent directly to your email, giving you a digest of relevant information delivered automatically.
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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.
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