ShiftToAGI helps nontechnical founders think through practical uses of AI. These guides are written with Claude and revised through a separate AI editorial pass. They are proposed workflows, not reports of customer results.
What the examples mean
Characters, sample records and expected outputs are illustrative. Business-owner personas are simulated perspectives, not interviews or independent validation. An expected output shows what a reader should check for; it does not claim that a tool produced it in a real business.
What each guide should help you do
Identify a recurring task, prepare the inputs, produce a concrete draft, review it against source records and decide whether to use it. Counts, stock, prices and other deterministic calculations belong in tested formulas or existing systems. A model can help with language and interpretation, but its output still needs checking.
Before trying a workflow
Use synthetic data first. Confirm your tools, permissions and account data terms. Keep personal, confidential and sensitive information out of general-purpose AI accounts. Local legal, employment, health, safety and financial decisions need appropriate expertise. Never send messages, change prices, place orders or make decisions about people without the responsible person's review.
Our publishing standard
Useful content needs clear examples and accurate claims. We follow Google's people-first content principles and avoid creating near-identical pages just to target keyword variations. AI assistance, batch creation and a canonical link do not guarantee indexing, rankings or citations.
- Google: helpful, reliable, people-first content
- Google: using generative AI content
- Google: scaled content abuse and other spam policies
Try one task, then decide
Record how long the task takes with your current method, how much editing the AI draft needs, and what errors appear. Expand only when your own results justify it.