The Ánimo proof library

Proof before promises.

Plain-language guides, worked examples and decision tools for finding useful AI projects—without turning the technology into the point.

Start with the actual problem

Three practical places to begin.

These are not trend reports. They are implementation notes for deciding what is worth fixing, what information needs work and what a responsible first version looks like.

For Louisville businesses8 min

AI consulting for a Louisville small business: five workflows worth fixing first

A scorecard for choosing a first project around inboxes, research, reporting, customer questions or scattered team knowledge.

IncludesWorkflow scorecard · pilot plan · ROI measures
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For small teams7 min

Before AI can help: make the information your business already has usable

A practical path from scattered files and unclear ownership to a source an AI helper can use safely and reliably.

IncludesData inventory · access rules · evaluation set
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For work and family life8 min

Four practical AI systems that can give your work or family time back

Meal planning, one family calendar, a private morning brief and an admin helper—designed around consent and human approval.

IncludesInputs · outputs · privacy boundaries
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The standard

Small enough to test. Clear enough to judge.

A good first version has a named owner, a narrow job, known source material, a review step and a before-and-after measure. If those pieces are missing, adding another tool will not make the project ready.

One recurring problem
Known source of truth
Human decision point
Visible success measure

Have a real workflow in mind?

Bring the messy version.

We can map the work, identify the safe boundary and decide whether a useful pilot exists before you buy more software.

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