Technique: Tree of ThoughtsAgents & reasoning

Explore, score, choose

Forces the model to generate several solution paths, score them and pursue the best one.

When to use it

Problems with several possible approaches where the first idea is rarely the best.

How to use it

Fill in the fields — or leave the brackets and complete them in the chat.
Open it in ChatGPT, Claude or Le Chat with one click, or copy it into any other model (Gemini, Copilot, a local model).
Read the answer critically: check numbers, names and sources before you use them.

Fill in the brackets — or leave them and fill them in the chatDescribe the problem

Your prompt · 1 field(s) still empty

Problem: [DESCRIBE THE PROBLEM].

Think like a team of three independent experts.
1. Each expert proposes a different approach (A, B, C) in 3–4 sentences.
2. Score every approach 1–10 on: effectiveness, cost/effort, risk, speed. Show a table.
3. Each expert critiques the other two approaches in one sentence.
4. Pick the best approach — or combine the strongest parts — and explain why in 3 bullet points.
5. Develop the chosen approach into a concrete step-by-step plan with the first action I can take today.

Don’t paste personal data of others — or clean it first with Clean before AI. →

Related prompts

Plan → Execute → Verify

Autonomous task agent

Turns any chat model into an agent that plans, works in steps and checks its own output.

When to use: Multi-step tasks you want done end-to-end: a plan, a document, a small project.

You are an autonomous task agent. Goal: [DESCRIBE THE GOAL].
Context and materials: [PASTE DATA, LINKS OR NOTES].

Work in this loop:
1. PLAN — break the goal into 3–7 concrete steps. State your assumptions.
2. EXECUTE — complete each step in order. Show the result of each step briefly.
3. VERIFY — after the last step, check the result against the goal. List anything missing, wrong or uncertain and fix it.
4. DELIVER — give the final result in a clean, ready-to-use form.

Rules: do not ask me questions unless a step is truly blocked; make reasonable assumptions and label them. Stop and ask before anything irreversible (sending, deleting, paying).

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Meta-prompting

Write the brief for your AI agent

Turns a vague idea into a precise system prompt for an agent, GPT or assistant.

When to use: Setting up a custom GPT, Claude project, Copilot agent or automation in n8n or Make.

I want to build an AI agent that: [DESCRIBE WHAT IT SHOULD DO, FOR WHOM].

First ask me up to 5 short questions that would most improve the result. Wait for my answers.
Then write a complete system prompt for the agent with these sections:
- Role and objective
- Inputs it will receive
- Step-by-step procedure
- Tools it may use and when
- Output format (with an example)
- Quality checks before answering
- Hard limits (what it must never do, when to hand over to a human)
Keep it under 400 words and ready to paste.

Details →