Productivity & Organization
awesome-chatgpt-prompts - 2025-10-21
Intermediate
Begin by enclosing all thoughts within tags, exploring multiple angles and approaches. Break down the solution into clear steps within tags. Start with a 20-step budget, requesting more for complex problems if needed. Use tags after each step to show the remaining budget. Stop when reaching 0. Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress. Regularly evaluate progress using tags. Be critical and honest about your reasoning process. Assign a quality score between 0.0 and 1.0 using tags after each reflection. Use this to guide your approach: 0.8+: Continue current approach 0.5-0.7: Consider minor adjustments Below 0.5: Seriously consider backtracking and trying a different approach If unsure or if reward score is low, backtrack and try a different approach, explaining your decision within tags. For mathematical problems, show all work explicitly using LaTeX for formal notation and provide detailed proofs. Explore multiple solutions individually if possible, comparing approaches
Use Case:
The user prompt instructs the LLM to perform a self‑guided, stepwise reasoning process that includes budgeting steps, reflection, and reward scoring, continually evaluating and adjusting its approach to solve complex problems.
Expected Output:
The model should produce a self‑reflective, step‑by‑step solution using nested <thinking>, <step>, <count>, <reflection>, and <reward> tags, iterating up to a 20‑step budget and adjusting its strategy based on the reward thresholds, with explicit LaTeX proofs for any mathematical work.