AI Tool Stack
AI Tool Stack Selector
Short answer:
Do not choose AI tools by popularity. Choose them by job. A one-person business usually needs a small stack for thinking, production, publishing, measurement, and source tracking.
Who this is for:
Solo creators, small digital product builders, and one-person AI businesses deciding whether to use local AI, hosted AI, static sites, storefronts, posting tools, or source-tracking workflows.
Who should skip this:
Teams with established procurement, security, legal, and engineering processes. They need a formal evaluation process.
The selector
Use the interactive version:
- /tools/ai-tool-stack-selector.html
It gives a lightweight recommendation based on whether your priority is quality, privacy, low cost, speed, selling products, traffic, or repeatable operations.
The practical stack layers
| Layer | Job | Common first option |
|---|---|---|
| Strategy and final review | Make decisions and catch weak reasoning | Hosted frontier AI |
| Low-cost drafting | Generate rough drafts and routine notes | Local AI such as Ollama |
| Website and publishing | Own the destination | Static site plus analytics |
| Selling products | Checkout and file delivery | Payhip, Gumroad, Lemon Squeezy, BOOTH, or itch.io |
| Distribution | Repeat posting without manual copying | Buffer or similar queue |
| Evidence tracking | Avoid unsupported claims | Source registry and official docs |
How to choose
If the task is sensitive or private, start local. If the task is strategic or high-impact, use a stronger hosted model for review. If the task is distribution, do not overbuild. Queue a few posts, measure clicks, and improve the hook.
Common mistakes
| Mistake | Better choice |
|---|---|
| Buying many AI tools before a workflow exists | Define the job first |
| Using local AI for final strategy without review | Use local AI for drafts, stronger AI for checks |
| Posting everywhere before the site is ready | Build one useful page and one tool first |
| Adding affiliate links before trust | Publish source-backed pages and disclosures first |
| Ignoring analytics | Track pages, clicks, and tool usage |
Recommended starting point
For Warehouse D-style projects, start with:
1. Hosted AI for strategy and quality review.
2. Local AI for low-cost drafts and routine tasks.
3. Static website for the owned destination.
4. One useful calculator or selector.
5. Buffer for low-frequency distribution.
6. GA4 and Search Console for measurement.
Sources
- Google SEO Starter Guide: developers.google.com
- Google Search Console overview: search.google.com
- Google Analytics events: support.google.com
- Buffer API overview: support.buffer.com
- Ollama docs: github.com
- FTC endorsement guides: ftc.gov