Gaiish for Business

The team problem

A useful prompt often lives in one person's memory: which document to paste, what “good” means, which claims need a source and which format a manager expects. When the work changes hands, those decisions disappear. Gaiish makes them part of the brief. The result is not automatic quality; it is a prompt another teammate can read and challenge before using.

A shared review habit

1. Name the outcome

   Write INTENT: or GOAL: so the team knows what decision or deliverable the work serves.

2. Supply the evidence

   Put source material and relevant operating context under CONTEXT: or KNOWLEDGE:.

3. Set the boundary

   Record audience, scope, tone, limits, exclusions and uncertainty under CONSTRAINTS:.

4. Make it checkable

   Describe the artefact under OUTPUT: and ask VALIDATION: to check the source and rules.

Worked example — a weekly customer brief

INTENT:
Give the customer-success lead a weekly brief that helps her choose which accounts need a human follow-up.

CONTEXT:
[paste the week's account notes]
Accounts are mid-market software customers. The lead has 20 minutes to review the brief. A follow-up means a named owner and a next action.

INSTRUCTION:
Identify accounts with a specific risk signal and summarise the evidence for each.

CONSTRAINTS:
Do not infer risk from silence. Do not include accounts without evidence in the notes. Use plain language and preserve customer names exactly as supplied.

OUTPUT:
A table with Account, Evidence, Risk signal, Suggested next action and Evidence gap, followed by a three-sentence overview.

VALIDATION:
Check each row against the notes, flag unsupported inferences and count the rows in the overview.

A manager can review this before it runs: is the source current, is “risk signal” defined, are the exclusions appropriate, and can the lead act on the output? The same brief can be adapted for another week without rediscovering its shape.

Where it fits

Use Gaiish alongside the team's existing security, privacy, legal and approval processes. Do not paste confidential material into a model unless the organisation has approved that workflow and its handling. A well-structured prompt cannot authorise access the model does not have.

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