Free resource

The AI Tools Starter Kit

A short, honest checklist for choosing AI & developer tools that are worth paying for — and skipping the ones that aren't. Bookmark this page; we've also emailed you a copy.

1. Define the job before the tool

Write the one sentence: “I want to ___ in less time / with less effort.”
Note how often you'll do it — daily tasks justify paid tools; rare ones rarely do.
Decide your ceiling: free, <$20/mo, or team budget.

2. Evaluate any tool in 15 minutes

Does the free tier actually let you finish one real task end-to-end?
Time-to-first-value: are you productive in under 10 minutes?
Does it export your data in an open format if you leave?
Is pricing per-seat, usage-based, or flat — and how does it scale for you?
Is there a real human/community when it breaks?

3. The categories worth a paid tool (2026)

AI coding assistant — the biggest daily time-saver for most developers.
AI writing / editing — for docs, emails and content, if you write a lot.
Knowledge base (notes/wiki) — where your team's context lives.
Automation / no-code glue — connect the apps you already pay for.
Hosting / deployment — the one bill that should just work.

4. Red flags that waste money

“AI” bolted on with no clear task it does better than free tools.
No export — your data is hostage.
Aggressive annual-only pricing before you've proven value.
A demo that looks great but stalls the moment you use real data.

5. Your 30-day trial plan

Pick ONE category with the biggest pain. Ignore the rest for now.
Trial two tools against the same real task, same week.
Keep the one that saved the most time — cancel the other immediately.
Re-evaluate every quarter; tools and pricing change fast.

When you're comparing specific tools, our comparison guides do the 15-minute test for you — with honest pros, cons and pricing.

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