Guides for makers
How to Evaluate an AI Tool Before You Commit
A practical method for testing an AI tool on your own work: define the job, build a test set, check accuracy, privacy and cost, then decide.
- Buying guides
- 9 min read
Describing What Your AI Product Actually Does
How to write a clear, honest product description for an AI tool: name the job, the input and output, the limits and the evidence, without hype.
- Writing
- 8 min read
Free Trial or Freemium: Choosing a Model for Your App
Free trials and freemium plans solve different problems. Compare how each works, who each suits and how to avoid the common traps when choosing.
- Pricing
- 8 min read
App Store Page Versus a Discovery-Site Page
An app store listing and a discovery-site page do different jobs. See how they differ, what each should say and how to use both without duplicating effort.
- Listings
- 9 min read
Gathering Early Reviews for a Digital Product
How to collect honest early reviews for an app or digital tool: whom to ask, when, how to word the request and what the rules prohibit.
- Growth
- 8 min read
A Reusable Scoring Sheet for Comparing Tools
Build one scoring sheet you can reuse for every software decision: choose criteria, weight them, score fairly and record the reasoning.
- Buying guides
- 8 min read
Honest Claims for AI Products: Accuracy, Limits, Data
A guide to making claims about an AI product that you can stand behind: how to talk about accuracy, safety, bias and data without overpromising.
- Trust
- 8 min read
Pulling Listings Into Your Workflow With a Free API
How developers and AI users can read tool listings from a free API and an MCP server to build shortlists, dashboards and assistant answers.
- Developers
- 8 min read