Praison AI

Strong Recipe Prompts

Craft effective prompts for AI agent recipes

A strong prompt ensures your recipe agents complete tasks accurately.

Diagram

User Goal

Agent Instructions

Tool Selection

Action Format

Expected Output

The Strong Prompt Template

agents.yaml
metadata:
  name: my-recipe
  requires:
    env:
      - OPENAI_API_KEY

goal: [SPECIFIC, MEASURABLE GOAL]

agents:
  researcher:
    role: [SPECIFIC ROLE]
    goal: [AGENT-SPECIFIC GOAL]
    backstory: |
      [EXPERTISE DESCRIPTION]

      CRITICAL INSTRUCTIONS:
      1. Always verify completeness before finalizing output
      2. Cite sources for all factual claims
      3. Follow the exact output format specified
      4. If data is incomplete, state what is missing
      5. Never fabricate information
    tools:
      - [TOOL_NAME]
    llm: gpt-4o-mini

steps:
  - agent: researcher
    action: |
      Use [TOOL] to [SPECIFIC ACTION].
      Return [EXACT FORMAT] with:
      - [FIELD 1]
      - [FIELD 2]
      - [FIELD 3]
    expected_output: |
      [EXACT FORMAT DESCRIPTION]

Key Elements

1. Specific Goal

Bad: Research AI

Good: Research and compare the top 5 AI agent frameworks with features, pros, cons, and use cases

2. Detailed Backstory

Include: – Expertise description – Verification requirements – Output format rules – Error handling instructions

3. Concrete Actions

Bad: Search for information about {{topic}}

Good: Use tavily_search to find the top 5 AI agent frameworks released in 2024-2025. Return a numbered list with name, key features, and comparison.

4. Exact Expected Output

Bad: A report

Good: A numbered list of 5 frameworks, each with: name, 3 key features, pros (2), cons (2), best use case

Example: Research Recipe

yaml
metadata:
  name: ai-frameworks-research
  requires:
    env:
      - OPENAI_API_KEY
      - TAVILY_API_KEY

goal: Research and compare top 5 AI agent frameworks with features and use cases

agents:
  researcher:
    role: AI Framework Analyst
    goal: Find and compare the latest AI agent frameworks
    backstory: |
      Expert researcher specializing in AI frameworks and tools.

      CRITICAL INSTRUCTIONS:
      1. Verify all information before including in output
      2. Include source URLs for each framework
      3. Compare frameworks objectively
      4. If search results are incomplete, make additional searches
      5. Format output exactly as specified
    tools:
      - tavily_search
    llm: gpt-4o-mini

steps:
  - agent: researcher
    action: |
      Use tavily_search to find the top 5 AI agent frameworks in 2024-2025.
      For each framework, find: name, key features, pros, cons, best use case.
      Return a numbered list with all details and source URLs.
    expected_output: |
      A numbered list of 5 AI frameworks:
      1. [Name]
         - Features: [3 key features]
         - Pros: [2 advantages]
         - Cons: [2 disadvantages]
         - Best for: [use case]
         - Source: [URL]

Prompt Checklist

  1. Goal is Specific

    Can you measure if the goal was achieved?

  2. Backstory has Instructions

    Does it include verification and format rules?

  3. Action is Concrete

    No variables, specific tool and format?

  4. Expected Output is Exact

    Describes the exact structure?