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PM Master Handbook ⬇ PDF
Module 13

AI Tools Landscape and Your Starter Stack

Which AI tool to use for which job, what each one costs, what you need before you start, and how the AI Tools Lab classes fit together.

≈ 4 h studyDraftedSources: Official product pages, docs and pricing pages (checked 23 Oct 2026); Module 11 (vibe coding); Module 12 (agentic AI)

On this page
  1. How to use the AI Tools Lab
  2. The AI tools map
  3. Which tool for which job
  4. What it costs: free versus paid
  5. What you need before you start
  6. Accounts, API keys and safety
  7. A starter stack for three budgets
  8. How the classes connect: one example project
  9. Exercises with model answers
  10. Key takeaways
  11. Check your understanding
  12. Recommended resources

Prices and features change every month

Every price, free limit and feature name in the AI Tools Lab was checked on 23 October 2026 against official pages or, where noted, several independent reviews. AI tools change quickly, so check the official pricing page before you pay or teach from these numbers. Screens in this lab are illustrative wireframes that show the layout and the order of clicks. They are not real screenshots, and button names may differ slightly in the live product.

13.1 How to use the AI Tools Lab

The AI Tools Lab is a set of hands-on classes. Each class follows the same pattern, so you can practise straight from the PDF:

  1. What the tool is and when to use it, in plain words.
  2. What you need: account, plan, cost, other tools.
  3. Level 1 (basic): your first result in under an hour.
  4. Level 2 (intermediate): the features working PMs use every week.
  5. Level 3 (advanced): connecting the tool to other apps, automating, and shipping.
  6. Labs: numbered steps with a picture of each screen or workflow.
  7. Mistakes, exercises with model answers, a quiz and resources.

13.2 The AI tools map

AI tools for PMs fall into eight groups. Most real projects combine two or three groups, for example Claude to write the spec, Lovable to build the app and n8n to connect it to Gmail and Slack.

1 · AI assistants
  • Claude, ChatGPT, Gemini, Microsoft Copilot
  • Think, write, analyse files, research
  • Class 14
2 · Coding agents
  • Claude Code, Cursor, GitHub Copilot, Codex
  • Edit real code and repositories
  • Class 15
3 · App builders
  • Lovable, Replit, Bolt, v0, Figma Make
  • Prompt to working web app
  • Classes 16 and 17
4 · Design
  • Figma, FigJam, Figma Make
  • Screens, prototypes, design systems
  • Class 18
5 · Docs, PRDs and planning
  • Notion, ChatPRD, Confluence, Linear, Jira
  • Specs, wikis, roadmaps
  • Class 19
6 · Automation
  • Zapier, Make, n8n
  • Connect Gmail, Slack, Sheets, CRMs
  • Class 20
7 · Chatbots
  • WhatsApp Business Platform, Botpress, Voiceflow, n8n
  • Answer customers in chat
  • Class 21
8 · Voice agents
  • Vapi, Retell AI, ElevenLabs Agents, Twilio
  • Answer and make phone calls
  • Class 22
The eight groups of AI tools a PM uses. Pick the group by the job. Pick the tool inside the group by cost, the integrations you need and what your team already uses.

13.3 Which tool for which job

If you want to…Start withFree to try?Upgrade when
Write a PRD, summarise interviews, analyse a CSVClaude (Projects + file upload)YesYou hit message limits or need Claude Code
Change code in a real repositoryClaude CodeNeeds Pro or APIDaily use: Max or a team plan
Build a clickable app with login and a databaseLovableYes (5 credits a day)You need private projects or a custom domain
Build and host a full-stack app in the browserReplit AgentYes (limited)You publish more than one app
Design screens and a click-through prototypeFigmaYes (Starter)You need Dev Mode or more files
Keep specs, roadmaps and research in one placeNotionYesYou need full Notion AI (Business plan)
Send a Slack alert when an email arrivesZapierYes (100 tasks a month)You need multi-step Zaps
Build complex automations cheaplyn8n (self-hosted)Yes (free software)You want managed cloud hosting
Answer customers on WhatsAppA WhatsApp BSP + n8n or BotpressTrial credits onlyReal customer traffic (per-message fees)
Answer phone calls with AIVapi or Retell AITrial creditsAny real calls (per-minute fees)
Job-to-tool chooser. Free tiers are enough to learn every tool in this lab. Real customer traffic (messages and calls) always costs money.

13.4 What it costs: free versus paid

The rule for this lab

You can complete every Level 1 lab for free. Most Level 2 labs are free too. Paid tools appear only where real messages, phone calls, or production hosting are involved, and each class says so clearly.

ToolFree tierFirst paid tierWhat you pay for
ClaudeFree plan with limited messagesPro, about $20 a monthMore usage, Claude Code, more models; Max for heavy use
Claude APINo free tier for productionPay per tokenBuilding your own apps and bots on Claude
Lovable5 credits a day (max 30 a month), public projectsPro, about $25 a month (100 credits)Private projects, custom domain, more credits
ReplitStarter: daily Agent credits, 1 published appCore, about $20 to $25 a monthMore Agent work, more apps, collaborators
FigmaStarter: limited files and AI creditsProfessional, about $16 a month per full seatDev Mode, MCP server, more Figma Make use
NotionFree plan, limited AI trialBusiness, about $20 per member a monthFull Notion AI, agents, meeting notes
Zapier100 tasks a month, two-step ZapsProfessionalMulti-step Zaps, more tasks
Make1,000 credits a month, 2 active scenariosCoreMore credits and scenarios
n8nCommunity Edition is free to self-hostCloud Starter, about €20 to €24 a monthManaged hosting; you pay the server if self-hosting
WhatsApp Business PlatformNo free tier for templatesPer delivered template messageMarketing, utility, authentication messages; check Meta's rate card
Voice agents (Vapi, Retell)Trial creditsUsage, roughly $0.07 to $0.30 a minute all-inSpeech-to-text, AI model, voice, phone line
Free and paid tiers at a glance (checked 23 Oct 2026; verify before paying). Figures are rounded and come from the official pricing pages where available, otherwise from several 2026 reviews. Indian rupee prices vary by tax and billing region.

13.5 What you need before you start

Hardware and software: any laptop from the last five years works. For Claude Code you also need a terminal (built into macOS and Windows) and, for some installs, Node.js from nodejs.org. Nothing in this lab needs a powerful computer, because the AI runs in the cloud.

13.6 Accounts, API keys and safety

Many labs connect one app to another. There are three ways apps connect, and you will meet all three:

Five safety rules for every lab

  1. Never paste an API key into a chat, a document, a prompt, or frontend code. Keep keys in the tool's secret store (n8n credentials, Lovable or Replit secrets, Netlify environment variables).
  2. Use test data. Do not upload customer data, salary data or anything under NDA to a free AI plan. Check your company's AI policy first.
  3. Approve actions one by one until a workflow has run correctly at least ten times.
  4. Turn off what you no longer use. Disconnect connectors and delete unused API keys.
  5. Set spending limits on every paid API (Anthropic Console, OpenAI, Twilio, Vapi) before your first test.

13.7 A starter stack for three budgets

₹0 a month (learning)
  • Claude Free
  • Lovable Free
  • Figma Starter
  • Notion Free
  • Zapier Free or n8n on your laptop
  • Telegram bot for chat practice
  • Voice agent trial credits
About $45 a month (serious PM)
  • Claude Pro (includes Claude Code)
  • Lovable Pro
  • Figma and Notion free tiers
  • n8n self-hosted on a small server
  • Pay-as-you-go API with a $10 limit
Team or client work
  • Claude Team or Max
  • Lovable or Replit paid
  • Figma Professional
  • Notion Business
  • n8n Cloud or Make Core
  • WhatsApp BSP and a voice agent platform on usage billing
Starter stacks. Start at ₹0. Upgrade one tool at a time, only when a free limit is actually blocking you.

13.8 How the classes connect: one example project

The capstone that ties the lab together is a small business assistant for a hypothetical clinic. Each class adds one piece:

13.9 Exercises with model answers

Exercise 1 · Pick the tools

A D2C brand wants: a landing page with a waitlist form, an email to each signup, and a weekly Slack summary of signups. Which tools would you use, free first?

Model answer

Landing page and form: Lovable (free tier) or Claude artifacts for a quick static page. Email and Slack: Zapier (free covers a two-step "new form row → send email" Zap) plus a second Zap for the weekly summary, or one n8n workflow that does both. Summary text: an AI step (Claude via n8n, or Zapier's AI step). Paid only when signups exceed the free task limits.

Exercise 2 · Spot the risk

A teammate pasted the company's OpenAI API key into a Lovable prompt so the app "can talk to AI". What is wrong, and what should they do?

Model answer

The key is now in the chat history and may end up in frontend code where any visitor can read it. Revoke the key immediately, create a new one, and store it as a secret (Lovable Cloud or Supabase secrets) used only by a server-side function. Set a spending limit on the new key.

13.10 Key takeaways

  • Choose the tool group by the job, and the tool by cost, integrations and team fit.
  • Every Level 1 lab is free. Messages, calls and production hosting are what cost money.
  • Keep secrets out of prompts and frontend code, use test data, and set spending limits.
  • Connectors, API keys and MCP are the three ways tools talk to each other.

13.11 Check your understanding

Check your understanding

Which group would you use to change code inside an existing GitHub repository?

  1. AI assistants such as the Claude chat app
  2. Coding agents such as Claude Code
  3. Automation tools such as Zapier
  4. Voice agents
Why: Coding agents read, edit and commit code in a real repository.

What usually costs money even when you are only testing a WhatsApp or phone bot with real people?

  1. Writing the prompt
  2. Designing the flow in Figma
  3. Delivered messages and call minutes
  4. Creating a Google account
Why: Messaging and telephony are billed per message or per minute.

Where should an API key for an automation live?

  1. In the prompt so the AI can see it
  2. In a shared Google Doc
  3. In the tool's credential or secret store
  4. In the website's JavaScript
Why: Credential stores keep keys encrypted and out of chats and frontend code.