Gravity Zero

## Gravity-zero was inspired by a simple but powerful idea: cognition behaves like physics. When people face complex decisions, they experience cognitive drag-friction, overwhelm, and mental weight. But they also have lift forces, clarity anchors leverage points, and momentum boosters. I wanted to build an agent that doesn’t just answer questions, but reduces drag and increases lift, giving people a structured way to move forward. Gravity-zero emerged from the desire to turn messy human problems into clean, physics-inspired clarity maps. Explore the concept: Cognitive drag, lift fields

What It Does

Cognitive Lift Engine for Agentic Problem Solving

Project Summary

Gravity-Zero is an Antigravity-powered agent deployed on Cloud Run that transforms complex human problems into structured "gravity maps" and "lift fields," enabling rapid clarity, reduced cognitive drag, and breakthrough decision-making.

Whether addressing personal, professional, strategic, or creative challenges, Gravity-Zero analyzes any problem to generate a structured, physics-inspired clarity model: a gravity map that exposes drag forces, blockers, constraints, and complexity packs.

##How We Built It

Gravity-Zero was constructed using the official Agentic Hackathon stack:

• Antigravity SDK: Used to define the agent, custom tools, multi-step workflows, and agent architecture.
  
• Reasoning Engine: Initially powered by Gemini 3.5 and subsequently upgraded to Gemini Flash.
  
• Frontend: Built with Next.js.
  
• Deployment & Autoscaling: Hosted on Cloud Run.
  
• Internal Modules: Developed for gravity mapping, lift field generation, and breakthrough synthesis.

## Challenges we ran into Cloud Run redeployment cycles every time the agent changed, balancing creativity with judge-friendly clarity. Ensuring structured output instead of conversational drift. Managing cognitive physics

## Accomplishments that we're proud of building a fully deployed agent on cloud run not just a local script. Designed a clarity engine, not a chatbot. Develop a system that genuinely helps workflow.

What We Learned

• Designing agents built to execute real work rather than basic chat.
  
• Modeling cognitive overload through principles of physics.
  
• Structuring multi-step reasoning using Antigravity.

## What's next for Gravity-Zero: Add visual gravity Maps + lift field diagrams, Add Firestorm session, memory, improve UI and onboarding. Release a public demo on Vercel.com Release Gravity-Zero API for developers. Long term build Gravity-Zero pro (paid clarity engine). Add multi-agent collaboration (Lift Engine, Strategy Engine + Wellness Engine,)

Built With

• css
• html
• typescript