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Curriculum/AI Agents/How to navigate the AI Agents tracks
25 minBeginner

How to navigate the AI Agents tracks

After this lesson, you will be able to: Understand what an AI agent is, the three tool tiers LastWrite teaches, and which tier matches your background and goals.

An 'AI agent' is a system that uses a language model in a loop with tools to take actions in the world, not just answer in chat. This intro lesson explains the core idea, walks through every tool we cover across no-code / low-code / code-first tiers, and helps you pick where to start.

This is a free introductory lesson. No purchase required.

Agent vs. simple LLM call

A simple LLM call is one-shot: prompt in, text out. An agent runs in a loop, the model decides what to do next, calls a tool, observes the result, and loops until the task is done. Search the web, check a calendar, send an email, query a database, each is a tool the agent picks up when needed.

💡 The ReAct loop

Reason → Act → Observe → Repeat. The model thinks ('I need today's weather'), acts (calls a weather tool), observes the result (72°F sunny), and uses it to answer or take the next step. This loop is the heart of every modern AI agent.

Trigger
user goal or event
→
Agent (LLM)
→
Tool call
→
Observation
tool result
↩loops back to Trigger
The agent loop: the model calls a tool, reads the observation, and decides again. It repeats until it has enough to return a final answer.

The three tool tiers LastWrite teaches

Tier 1. No-Code (n8n, Zapier, Make.com, Voiceflow): drag-and-drop, no programming. Best for non-developers automating real work fast. Tier 2. Low-Code (LangFlow, Flowise, Dify, Relevance AI): visual canvas with the power of LangChain underneath. A bit of Python helps but isn't required. Tier 3. Code-First (LangChain, LlamaIndex, CrewAI, raw SDKs, MCP): full Python code, total control, production-grade. The pro tier.

How to choose your tier

  1. 1

    1. Comfortable with Python and want full control? → Code-First.

  2. 2

    2. Some technical background, want visual tools but real power? → Low-Code.

  3. 3

    3. Want to build automations fast without learning syntax? → No-Code.

  4. 4

    4. Unsure? Start No-Code (1 lesson) to feel the loop, then jump to your real tier.

ℹ️ Real-world agent use cases

Customer support, agent reads tickets, retrieves docs, drafts replies. Research, agent searches multiple sources, extracts facts, writes reports. Security, agent monitors logs, classifies alerts, escalates real threats. Content, agent watches RSS feeds, summarises, schedules social posts. Personal, meal planner, study tutor, daily briefing.

Quick Check

What's the difference between a chatbot and an agent?

Pick the answer that captures the agent's defining trait.

Back to AI Agents