Solving everyday problems with vibe coding #4

🚩 Problem

Most articles are time-consuming to read, and there’s no quick way to extract and store their key insights in a structured, reusable format.

💡 Solution

Provides a fast, simple way to turn online content into structured, reusable knowledge.

👤 Target users

  • Content curators & bloggers who collect references and quotes for future use.
  • Busy professionals who scan articles for decision-making but don’t have time to read everything in full.
  • Casual readers who want to keep a personal library of interesting finds without the clutter of bookmarks.

⛏️ Tools used

  • PRD: ChatGPT 5 (Deep research)
  • AI Agent: Bolt
  • API: Jina Reader, Claude

Try Capsule 👉 https://bit.ly/4lrxO5Z

📝 Notes from the build

1. Writing the PRD with ChatGPT 5

  • Adding a prompt like “think deeply” triggered faster, more focused answers. Unlike earlier GPT models, the clarifying questions felt targeted and relevant, helping steer the conversation toward what actually mattered.

2. Building and iterating with Bolt

  • Basic technical skills help: Bolt has a terminal, file explorer, and preview pane that can feel intimidating for non-coders. Some powerful features are hidden behind Terminal commands, which may take time to learn.
  • Beginner-friendly touches: Each command includes an explanation, and you can favorite commands for quick access.
  • Token usage adds up: Complex app iterations can burn through tokens faster than expected.
  • Code may need adjustments: Unique UI patterns sometimes require manual tweaking, and occasional dependency loops can force a conversation restart.

3. API integration

  • Current setup: Capsule uses Jina Reader and Claude APIs to deliver clean content extraction and high-quality summaries.
  • Post-MVP consideration:
    • Notion API → Sync cards to a Notion database for long-term storage and organization.
    • Slack / Discord Webhooks → Send new cards or reminders directly to your workspace channels for quick access.

🌱 Takeaways

What worked

  • Giving ChatGPT-5 explicit thinking instructions (“think deeply”) changes the quality of output, not just the speed, but the relevance of follow-up questions.
  • Pairing a strong content extraction API with a capable summarization model sets a solid foundation for building structured knowledge tools.
  • Even technical tools like Bolt can be beginner-friendly when they surface clear explanations and shortcuts for frequent actions.

Challenges I faced

  • Bridging the gap between technical and non-technical users is tricky. Tools that feel natural for builders can overwhelm casual creators at first.
  • AI-assisted coding is powerful but not flawless; dependency issues and edge-case UI tweaks still need human intervention.
  • Balancing speed of iteration with token costs is an ongoing tension when experimenting heavily.

What could be improved

  • Expand Capsule’s ecosystem by connecting to where users already work (Notion, Slack, Discord).
  • AI coding tools can bridge the technical gap by designing onboarding or UI patterns that demystify technical elements for non-coders.
  • Explore token-efficient workflows for rapid prototyping without sacrificing quality.