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Project Type: Prompt Library Agent + Creative QA System |
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PromptAlchemy is a workflow system and agent layer for turning messy creative ideas into structured, tested, and reusable prompts — ready to be deployed across GPT-powered workflows, brand systems, or product features.
- 🧪 Stop rebuilding prompts from scratch every time
- 🧰 Turn chaotic experiments into organized, reusable prompt assets
- 🧠 Reduce repetition, improve consistency, and scale team knowledge
- 🧼 Clean up the messy vaults of half-working prompt drafts
This tool is built for creative teams, strategists, and prompt engineers who want to:
- Organize prompt libraries by function, format, and use case
- Break down unstructured ideas into reusable components
- Standardize high-performing prompts with metadata, tags, and performance notes
- QA and refine prompts through structured review layers
PromptAlchemy features four sub-agents, each with a defined task in the transformation pipeline:
| Sub-Agent | Role | Personality Tag |
|---|---|---|
| The Extractor | Pulls core concepts and intent from raw prompt text | 🧐 Curious, investigative |
| The Classifier | Sorts the prompt into type, use case, and tags | 🧠 Methodical, organized |
| The Refiner | Edits for clarity, tone, structure, and utility | 🎯 Meticulous, precise |
| The Validator | Stress-tests prompts for ambiguity and results | 🔥 Analytical, no-nonsense |
Each sub-agent is anthropomorphized lab equipment with a specific QA function — making the process feel like collaborative alchemy.
- Input: Paste in an unstructured prompt or idea
- Extraction: The Extractor pulls purpose, context, and target output
- Classification: The Classifier tags it by type, format, tone, and use case
- Refinement: The Refiner polishes for clarity, voice, and task success
- Validation: The Validator stress-tests edge cases and flags ambiguity
- Shared Memory: All outputs are stored in a prompt library for future reuse
- Output: A structured, metadata-rich prompt ready for vault or deployment
{
"title": "YouTube Hook Ideator",
"type": "Content Generation",
"format": "Few-shot",
"description": "Generates 5 high-converting YouTube video hook options",
"tags": ["YouTube", "Hooks", "Marketing", "Few-shot"],
"prompt": "You are a YouTube strategist. Given a video title and topic, suggest 5 bold hook variations that would maximize curiosity and CTR...",
"review_notes": "Works well for marketing; might struggle with technical content"
}- Models: GPT-4, GPT-4o, Claude 3.5 (tested)
- Platform: Notion, Markdown, JSON, (n8n automation layer WIP)
- Outputs: JSON, Markdown, HTML template (optional)
- Persona Layer: Visual + emotional UX embedded into every step
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- Internal prompt QA and reuse for marketing teams
- Training junior team members on prompt writing best practices
- Cleaning up chaotic prompt libraries (e.g. Notion databases, Sheets, internal wikis)
- Adding consistency across multi-agent systems
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- Project scoped
- MVP built
- Vault integration started
- Live test deployed
This agent is designed to evolve. Here’s what’s ahead:
- 🔄 Live Demo Prompt Form — drag-and-drop form to submit raw ideas
- 🧾 Multi-format Output Options — JSON, Markdown, Notion DB export
- 🧠 Personalized Memory Layer — save prompts by user/project/team
- 🧪 Performance Testing Layer — run/test prompt variants across models
- 🧰 PromptKit Integration — version control + testing notes
- ⚙️ n8n Integration — trigger prompt refinement workflows via webhook
Long-term goal: a full-stack PromptOps toolkit for creative and marketing teams.
PromptAlchemy is both a utility system and a creative artifact. It’s intentionally playful — because prompt engineering isn’t just logic, it’s language design. And language is messy.
This system helps bring structure without losing soul.
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👤 Created by Ros Talbot
Lightweight AI tools designed for humans first.