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Build AI Agents

Advanced

Advanced

Recommended Model

Claude 3.5 Sonnet

Workflow

  1. Define the purpose — Be specific about what problem it solves and for whom.
  2. Design the tool set — List every external API, database, or resource the agent needs.
  3. Implement reasoning — Build the think-act-observe cycle that drives the agent.
  4. Add memory — Implement short-term and long-term memory systems.
  5. Test edge cases — Run through failure scenarios and adversarial inputs.

Interactive Prompt Customizer

Customize your prompt by filling in the variables below:

prompt.txt
Design a production-ready AI agent system:

**Purpose:** [AGENT_PURPOSE]

**Capabilities:**
- [CAPABILITY_1]
- [CAPABILITY_2]
- [CAPABILITY_3]

**Constraints:**
- Max tokens: [TOKEN_LIMIT]
- Required tools: [TOOLS]
- Data sources: [DATA_SOURCES]

Provide:
1. System architecture
2. Tool definitions
3. Memory strategy
4. Reasoning loop
5. Error handling
6. Testing approach

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