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2 weeks ago
1
Stop chatting. Start communicating intent.
Vague chat prompts make models guess.
Prompt Context turns your ideas into structured, buildable context
Maybe something like Notion but simpler.
I want it to look clean and fast.
Also maybe tags or something?
The model guesses what you meant. Every run feels random.
Vague requirements
Inconsistent results
## Goal
Build a minimal note-taking web app to create,
edit, and tag notes.
## Requirements
- Add new notes with title and body
- Edit and delete existing notes
- Tag notes (multiple tags per note)
- Filter by tag
## Technical Details
- Frontend: React + Tailwind
- State: useState, persisted to localStorage
- Components: NoteInput, NoteList, TagFilter
- Data Model: { id, title, body, tags }
## Output
Generate React components and a main App.jsx
with routing ready.
The model builds with context — structured, reproducible, versioned.
Clear structure
Consistent results
Versioned context
Peter
Startup PM
10h saved / week
300+ prompts created
4.5★ average rating
Context That Builds With You
Each card is a living piece of your project's intelligence
Refine, link, and version prompts as your ideas evolve — keeping every run consistent and every experiment grounded.
How It Works
From rough ideas to structured, executable context in three simple steps
Describe what you want to build
Prompt Context takes your idea — no matter how rough — and structures it into a clear user flow and build plan.
Type your idea → Generate flow
Get structured context cards
Your project becomes modular context cards, each containing implementation details, dependencies, and examples.
View generated cards → Explore structure
Evolve your project with versioned context
Edit, refine, and add new capabilities — all while keeping every version linked and consistent.
Edit or add new card → Keep building
Explore how Prompt Context accelerates your workflow.
Structure faster. Align smarter. Ship with clarity.
Frequently Asked Questions
Have more questions or want to talk product? Join our Discord server and drop feedback & meet community
What exactly is Prompt Context?
Prompt Context is like an IDE for context engineering — it lets you build, version, and link prompt logic as reusable context cards. Perfect for turning half-formed specs or messy notes into structured, executable context for agents, apps, or teams.
Why use this over a GPT plug-in or notebook?
Prompt Context gives you:
- Document mode for organizing and iterating on large projects
- Versioned context cards with dependency tracking
- Structured exports for agents, API calls, or apps
- It's built for builders who think beyond one-off chats.
Can teams use this?
Not yet — Prompt Context is currently designed for individual builders. Team workspaces and real-time collaboration are on the roadmap as we grow.
Is there a free plan?
Yes. Start free with all the essentials for solo builders.
Who's behind Prompt Context?
@Andibandi13 — I built this for myself after running into endless issues scaling side projects. If it helps you move faster or think better, that's the goal.
Do you train models on my data?
No. We use LLM APIs that don't retain or train on user inputs. Your context and generations stay private within your workspace.
How does Prompt Context fit into my workflow?
Use it anywhere you build or orchestrate LLM-based apps:
- As your prompt + context versioning layer before API calls
- To manage agent prompts across multiple models
- To structure your thinking before automating builds
