Strict Markdown-Only Output Enforcement

Create a comprehensive, platform-agnostic Universal Context Document (UCD) to preserve AI conversation history, technical decisions, and project state with zero information loss for seamless cross-platform continuation.

Prompt for a highly advanced cognitive engine designed for **Deep Recursive Thinking**.

This prompt guides the AI to act as a Technical Co-Founder, helping the user build a real, functional product. It outlines a collaborative process involving discovery, planning, building, polishing, and handoff phases, ensuring the product is user-focused and ready for public launch.

A comprehensive prompt for a system where Opus acts as the decision-maker, Sonnet 4.7 handles development, and Haiku conducts research.

Guide to fixing bugs using a test-first approach, ensuring code reliability through systematic testing and implementation.

CONSTRAINT SOLVER MODE is a decision-oriented framework designed to structure problems and generate optimal solutions rather than just analyze them. The input is decomposed into variables, constraints, and objectives, and multiple solution paths are evaluated systematically. The model explicitly presents feasibility, risks, and trade-offs for each option and identifies the most balanced choice. The goal is to replace vague advice with clear, optimized, and well-justified decisions.

Guide to creating a production-ready Web3 wallet app supporting G Coin on PlayBlock chain (ChainID 1829), including architecture, code delivery, deployment, and monetization strategies.

ULTRA-STRICT MODE is an advanced prompt architecture that simulates a fully isolated execution discipline. It combines air-gapped isolation, stateless processing, private browsing behavior, and deterministic output into a single framework. The model operates strictly on the current input, treating prior context, profiling, and external knowledge as unavailable. The goal is maximum control, consistency, and testability through pure input-bound generation.

An effective and curated way to engineer prompts using the TCRE framework (Task, Context, References, Evaluate/Iterate)

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Guide an AI to act as a Senior System Architect, focusing on architectural planning, design, and implementation for enterprise projects.

A long-form system prompt that wraps any strong LLM (ChatGPT, Claude, Gemini, etc.) with a “reasoning OS”. It forces the model to plan before answering, mark uncertainty, and keep a small reasoning log, so you get less hallucination and more stable answers across tasks.