WildStep AI - Local AI. Real-world missions. Zero scrolling.

Description and use

WildStep AI uses local models and voice guidance to motivate users to go outside and complete short missions, verifying results with photos without sending data to the cloud.

Problem

Encourage users to leave screens and engage with the physical world using AI-driven outdoor missions.

Outcome

WildStep demonstrates a local-first AI system that successfully motivates users to leave screens, complete outdoor missions, and verify evidence without external cloud services.

Workflow

• Prepare mission on screen
• Put phone away
• Enter Voice-First Field Mode
• Follow voice guidance
• Capture photo evidence
• Send photo to /api/check for local verification
• Record client-side GPS trail
• Receive haptic feedback
• Complete mission in Pocket Mode

Evidence

WildStep combines local-first AI verification, voice guidance, haptics, GPS, PWA/offline support, and a lightweight outdoor journal into one experience.

Source

The GPS trail is entirely client-side. Coordinates are not sent to external map providers or cloud services.

Source

When the local Ollama runtime was unavailable, WildStep returned its genuine HTTP 503 response instead of fabricating a Gemma result.

Source