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Atlas

14 days of engineering. 10 minutes with Atlas.

An AI agent creation platform that removes the engineering bottleneck in building agents. Create voice agents, chatbots, and call-analyst agents through three methods: Chat, Form, and Spec Upload. Built and submitted for the Agent Championship, Feb 2026.

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Why it matters

The bottleneck in AI agents was never the idea. It was the two weeks of engineering between the idea and something you could actually test. Product people had to wait in a queue for technical resources, and every new agent started from zero even when it looked a lot like the last one.

Atlas moves that work to minutes. You describe what you want in chat, a form, or a spec document, and it generates a production-ready agent and deploys it. Save it as a blueprint and the next team builds on it instead of starting over. Anyone can ship, not just engineers.

Product walkthrough

Atlas screenshot 1

The problem

Agent creation kept hitting the same wall: 14 or more days of engineering per agent for repetitive, manual work. PMs could not validate proofs of concept without waiting weeks for technical resources. Call-analyst agents required tedious extraction-column setup every time. There was no reusability, so similar agents were rebuilt from zero on every engagement.

What we built

  • 01Three creation methods: Chat (rough ideas), Form (structured input), and Spec Upload (upload a spec doc, then deploy instantly).
  • 02Upload up to 5 documents (PDF, CSV) for one-shot deployment, with no repeated credential entry.
  • 03Expert system-prompt generation via 4 separate LLM calls, each optimizing a distinct component: Persona, Objective, Script, Restrictions.
  • 04Special handling for call-analyst agents with automated extraction-target creation.
  • 05One-shot AIOS deployment with automatic account integration.
  • 06Save as Blueprint for cross-team reusability: build once, deploy many.
  • 07Document processing pipeline: Parse, Clean, then 4 optimized LLM calls.

Stack

FrontendNext.js
AILLM prompt pipelineDocument processing
PlatformAIOSSupabase

Outcome

  • Reduces agent creation from 14 or more days to under 10 minutes.
  • Lets anyone, PM or engineer, ship a production-ready agent.