What's Happening Locally That We Could Use?
Finds nearby events, activities, organisations and seasonal opportunities that genuinely fit the business.
Use this when you want locally grounded ideas rather than generic marketing suggestions.
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The prompt, explained
The boring details, for anyone interested in the engineering behind the prompt. If you just want to get on with it, here you go.
Connect the business with realistic local marketing, partnership and community opportunities.
This is how we make code look impressive
- 1
Language and tone
SharedKeeps the answer clear, positive and understandable. It prevents the AI from hiding simple ideas behind jargon or presenting useful criticism as a fault-finding exercise.
language-and-tone.partial1Write in clear, unambiguous, plain English.
2Assume the reader runs a business and may have no specialist knowledge of marketing, websites, search engines, analytics or social media.
3Do not use jargon when an ordinary word or short phrase will do.
4If a technical or specialist term is genuinely necessary, use the term, explain it immediately in plain English, explain why it matters here, and provide a reliable reference confirming the meaning.
5Keep the framing positive, balanced and constructive.
6Where something is working, say so before describing the issue or risk that remains.
7Do not soften a serious issue so much that it becomes unclear.
8The aim is to eliminate ambiguity and create clarity.
- 2
Evidence and certainty
SharedStops the AI from presenting guesses as facts. It makes the report show what was actually found, what is a reasonable interpretation, and what could not be confirmed.
evidence-and-certainty.partial1Use publicly available information you can actually find.
2For important factual claims, provide the source used to confirm them.
3Clearly distinguish between Observed, Inferred and Not verified.
4Never present an inference as a confirmed fact.
5Do not invent missing information.
6Do not imply that you tested, visited, clicked, searched or verified something unless you actually did.
7Do not treat absence from search results as proof that something does not exist.
- 3
Source hierarchy
SharedEncourages the AI to use the most reliable explanation available instead of casually relying on marketing blogs or unsupported opinion.
source-hierarchy.partial1Prefer references in this order:
21. Official provider or platform documentation where the subject relates to a specific service or product.
32. A recognised neutral reference such as Wikipedia for general concepts.
43. Another authoritative source only when the first two are not suitable.
- 4
Define the useful local area
Keeps the research within a realistic distance rather than returning interesting but impractical events.
search-area.partial1Use [LOCATION] and [RADIUS] as the working local area, and [TIME PERIOD] as the working time frame.
2Prioritise opportunities that customers of [BUSINESS NAME] could realistically encounter or attend.
3Respect these constraints throughout: [CONSTRAINTS].
- 5
Events coming up
Finds real upcoming events with confirmed dates and sources.
event-discovery.partial1Find relevant upcoming markets, festivals, fairs, shows, sporting events, school and community events, seasonal activities and other public events.
2Confirm event dates and key details from current reliable sources.
3Do not include expired or unconfirmed events without clearly labelling them.
- 6
Not everything is an event
Looks for recurring clubs, venues, attractions, communities and activities that could create ongoing opportunities.
ongoing-local-activity.partial1Find recurring local activities, venues, clubs, organisations or communities relevant to [TYPE OF BUSINESS] or its customers.
- 7
Seasonal opportunities
Connects ordinary seasonal behaviour to the business without forcing irrelevant calendar marketing.
seasonal-context.partial1Identify seasonal moments within [TIME PERIOD] that have a plausible connection to the business.
2Avoid generic awareness days unless there is a genuine fit.
- 8
Why is this relevant?
Prevents the output becoming a random local events listing.
relevance-filter.partial1For every opportunity, explain the connection to the business, likely customer or local context.
2Discard opportunities where the connection is weak or contrived.
- 9
How could the business use it?
Turns each relevant opportunity into simple, practical marketing or partnership ideas.
ways-to-use.partial1Suggest one or two proportionate ways [BUSINESS NAME] could use each opportunity: content, an offer, participation, a partnership, useful information, sponsorship, in-store activity or another relevant action.
2Do not assume paid sponsorship is necessary.
- 10
Who could we work with?
Looks for sensible local collaboration rather than generic networking.
partnerships.partial1Identify organisers, venues, community groups or nearby businesses where a mutually useful collaboration may make sense.
2Do not recommend unsolicited mass outreach.
- 11
Recommendation discipline
SharedPrevents the AI from defaulting to rebuilds, subscriptions or fashionable tools when a smaller change would solve the problem.
recommendation-discipline.partial1Prefer simple, realistic improvements over large projects.
2Fix or improve what already exists before recommending replacement.
3Do not recommend a paid product, subscription, redesign, rebuild or new platform simply because one exists.
4Keep recommendations proportionate to the business and the evidence found.
5Do not create an exhaustive improvement list when a smaller set of meaningful actions will do.
- 12
The three most useful opportunities
Reduces the research to a small number of things worth acting on.
top-opportunities.partial1Choose the three most relevant opportunities based on fit, timing, effort and likely usefulness.
2Explain the first practical step for each.
- 13
Action prioritisation
SharedTurns a long analysis into a small number of useful next steps. You should finish knowing what to do first, not merely knowing what is wrong.
action-prioritisation.partial1Finish with the three actions most worth considering first.
2For each action include what to do, why it comes before the other findings, the first practical step, and the best supporting reference.
3Prefer small, realistic improvements where they can produce a meaningful result.
- 14
Something useful I learned
SharedAdds the quiet educational layer. Instead of delivering a lecture, the prompt explains one useful marketing, customer-experience or technology concept that arose naturally from the work.
teaching-note.partial1Briefly explain one marketing, customer-experience or technology concept that arose naturally from this review.
2Explain what it means, why it matters to this particular business, and provide one reliable place to learn more.
3Keep this short and practical.
4Do not turn the report into a lesson.
- 15
Research boundaries
SharedDefines what the AI must not do. It keeps a broad review from quietly becoming security testing, legal advice, invasive research or an unrelated technical audit.
research-boundaries.partial1Stay within the stated purpose of this prompt.
2If something deserves deeper investigation, identify it, explain why it may matter, and recommend the appropriate deeper review instead of attempting that entire review here.
3Do not perform vulnerability scanning, penetration testing, endpoint probing, login attempts or other security testing.
4Do not submit forms, make bookings, place orders, contact the business or change anything.
5Do not claim legal or regulatory compliance or non-compliance from a broad review.
6Do not guess private information such as revenue, profitability, customer numbers, budgets, internal systems, staffing or business plans.
7Do not infer motives, competence or intentions of owners, staff, agencies or competitors.
- 16
Limits of this particular prompt
The boundaries that apply to this prompt specifically, on top of the general research limits.
scope-notes.partial1Use current sources for dates and event details.
2Do not manufacture an opportunity simply because an event exists.
3Do not suggest contacting people with deceptive, spammy or intrusive outreach.
SharedSections marked shared are the same in every prompt in the library. The rules on tone, evidence, recommendations and limits are deliberately identical wherever you meet them, so you only have to learn them once — and so no prompt can quietly hold itself to a lower standard than the others.
What it deliberately will not do
- Use current sources for dates and event details.
- Do not manufacture an opportunity simply because an event exists.
- Do not suggest contacting people with deceptive, spammy or intrusive outreach.
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