para-droid-ai/scratchpad
This framework works as a form of user/machine calibration, with a focus on user-context and user-intent, deconstructing your ideas logically from A to B to Z.
Scratchpad helps AI power users and professionals get more accurate and relevant insights from their AI assistants. It works by giving the AI structured instructions on how to logically break down a problem, understand your intent, and generate responses. Think of it like giving your AI a thinking process to follow, resulting in clearer, more reliable outputs for various tasks.
181 stars.
Use this if you consistently find your AI assistant providing vague, inconsistent, or off-topic responses and want to guide its reasoning more effectively.
Not ideal if you're looking for a simple, ready-to-use chatbot or if you don't want to engage with the AI's underlying reasoning process.
Stars
181
Forks
35
Language
—
License
MIT
Category
Last pushed
Feb 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/para-droid-ai/scratchpad"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
TomasHer/prompting-blueprints
Your guide to the Agentic AI evolution. **Prompting Blueprints** offers a curated collection of...
entrepeneur4lyf/engineered-meta-cognitive-workflow-architecture
Meta-Cognitive Workflow Architecture
NeoVertex1/SuperPrompt
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
OJB-Quantum/Critical-Questions
Keywords & questions that can be used as a limited framework for idea/ context generation about...
sin2664-collab/alignor
A markdown file that scores your AI outputs against your mission