DoclessAI

DoclessAI adds a smart AI assistant to your app that understands UI and screenshots to guide users without needing long documentation, they can complete tasks without reading long documentation.

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Inspiration

Modern applications are becoming more powerful, but also more complex. We noticed that users often struggle to understand features, workflows, and UI without reading long documentation or watching tutorials. At the same time, support teams spend a lot of time answering repetitive questions that are already covered in docs.

DoclessAI was inspired by the idea that applications should be able to explain themselves. Instead of forcing users to search through help centers, we wanted to embed an intelligent assistant directly into the product that understands the UI, features, and even screenshots to provide instant, contextual help.

What it does

DoclessAI lets developers add an AI-powered support assistant to their application that understands the app’s features, routes, and UI elements.

Users can:

  • Ask questions in natural language
  • Upload screenshots of the app UI
  • Get contextual answers mapped to real features
  • Receive guidance with direct links to relevant routes and UI elements

This reduces the need for traditional documentation and helps users get answers exactly when and where they need them.

How we built it

We built DoclessAI as a full-stack platform with:

  • A feature knowledge system that stores app features, routes, and UI metadata
  • Vector embeddings and semantic search (Qdrant) to find the most relevant features
  • Multimodal AI (Google Gemini) to analyze both text and screenshots
  • A custom prompt and grounding system to ensure responses are based only on the app’s actual data
  • A developer-friendly setup flow to register apps and define features

The system matches user queries and screenshots to known app features and returns structured, grounded responses.

Challenges we ran into

  • Designing reliable multimodal grounding between screenshots and app features
  • Preventing hallucinations by forcing the AI to use only provided app data
  • Handling different input types (text + images) in a consistent prompt format
  • Ensuring the AI returns structured JSON for frontend integration
  • Balancing speed, accuracy, and cost for real-time responses

Accomplishments that we're proud of

  • Successfully built a multimodal assistant that understands screenshots
  • Created a feature-to-UI grounding system that links answers to real routes and elements
  • Designed a clean developer experience for registering apps and features
  • Achieved structured, reliable AI outputs suitable for production integration

What we learned

  • Multimodal AI is powerful but requires careful prompt and data design
  • Grounding AI to structured product data dramatically improves accuracy
  • Small UX details (like linking to routes and UI elements) significantly improve user trust
  • Building reliable AI systems is as much about system design as model capability

What's next for DoclessAI

We will add interactive responses that include buttons to navigate users directly to the correct page and highlight specific UI elements. This will let users go from question to action instantly.

We will also improve multimodal accuracy, feature matching, and response reliability to make the assistant smarter and more precise.

Our goal is to turn DoclessAI into a true in-app AI copilot that guides users through real workflows, not just answers questions.

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