Saturday, June 14, 2025

How to build an AI Agent

 


Agents are the most valuable skill in AI and product right now. So why not build one? Here's how:

π’π­πžπ© 𝟏: πƒπžπŸπ’π§πž 𝐚 𝐬𝐲𝐬𝐭𝐞𝐦 𝐩𝐫𝐨𝐦𝐩𝐭

It defines the goals, logic, and expectations.

Free guides:
β€’ GPT-4.1 Prompting Guide: https://lnkd.in/dt8FxriE
β€’ Anthropic Prompt Engineering: https://lnkd.in/dc-kucif
β€’ Prompt Engineering by Google: https://lnkd.in/dEU2Y_9v

[Extra] 11 AI Agent Prompting Principles: https://lnkd.in/d8nGFFEC

π’π­πžπ© 𝟐: π’πžπ₯𝐞𝐜𝐭 𝐚𝐧 π‹π‹πŒ

Unless the framework handles iterating (e.g., n8n), start with a reasoning model (e.g., o1-mini).

π’π­πžπ© πŸ‘: π‚π¨π§π§πžπœπ­ 𝐭𝐨𝐨π₯𝐬

What might your AI agent need to achieve its goals? Consider simple tools, like a calculator, custom functions, integrations, data sources, and MCP servers.

π’π­πžπ© πŸ’: 𝐏𝐫𝐨𝐯𝐒𝐝𝐞 𝐦𝐞𝐦𝐨𝐫𝐲

The agent must track it's progress and learn. Most platforms support:
β€’ Short-term memory (variables, last interactions)
β€’ Long-term memory (vector, SQL, graph)

π’π­πžπ© πŸ“: 𝐎𝐫𝐜𝐑𝐞𝐬𝐭𝐫𝐚𝐭𝐞 𝐭𝐑𝐞 π₯𝐨𝐠𝐒𝐜

Whether a single agent or multiple agents working together, you must:
β€’ Map/code repeatable logic (flow) that doesn't belong to specific agents
β€’ Orchestrate communication between AI agents (static or dynamic)

You might also like the AI Agent Architectures With n8n 

π’π­πžπ© πŸ”: 𝐀𝐝𝐝 π”π¬πžπ« 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞

If your AI agent is user-facing, you can easily add logic using tools like Lovable, Bolt, or Google Firebase. No coding.


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