General
PromptBeginner5 minmarkdown
List upcoming major sports events (games
matches
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General
PromptBeginner5 minmarkdown
4. Gemini 1.5/2.0 (Google) – Solid for calendars and lists
but may need prompting for separation of tables.
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General
PromptBeginner5 minmarkdown
3. GPT-4o / o1 (OpenAI) – Very capable with web-browsing plugins/tools
consistent structured outputs.
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General
PromptBeginner5 minmarkdown
2. Claude 3.5/4 (Anthropic) – Strong reasoning
reliable table formatting
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General
PromptBeginner5 minmarkdown
Create a clean
user-friendly summary of upcoming major sports events in the next 7 days from today's date forward. Include games
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General
PromptBeginner5 minmarkdown
Sports Events Weekly Listings Prompt
### Sports Events Weekly Listings Prompt (v1.0 – Initial Version)
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General
PromptBeginner5 minmarkdown
- **Conference speaking** = Thought leadership
visibility
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General
PromptBeginner5 minmarkdown
- **Urgency language (ASAP
immediate)** = Pain is acute
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Coding & Debugging
PromptBeginner5 minmarkdown
- **Series B+ funding** = Growth capital
buying power
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General
PromptBeginner5 minmarkdown
- **International expansion** = Localization
compliance
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General
PromptBeginner5 minmarkdown
- [ ] Employee count (LinkedIn
website)
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General
PromptBeginner5 minmarkdown
- [ ] Tech stack (BuiltWith
job postings)
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General
PromptBeginner5 minmarkdown
- **3+ relevant roles posted** = Active initiative
budget allocated
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General
PromptBeginner5 minmarkdown
relationship: {is_followup: True
last_outcome: neutral}
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General
PromptBeginner5 minmarkdown
relationship: {is_followup: False
mutual_connections: 2}
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General
PromptBeginner5 minmarkdown
print(json.dumps(result
indent=2))
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General
PromptBeginner5 minmarkdown
size_indicators: {employees: 200
revenue: 25_000_000}
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General
PromptBeginner5 minmarkdown
timing_signals: [just_funded
active_evaluation]
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General
PromptBeginner5 minmarkdown
signals: [recent_funding
job_postings_relevant]
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General
PromptBeginner5 minmarkdown
scored.sort(key=lambda x: x.raw_score
reverse=True)
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General
PromptBeginner5 minmarkdown
scored = [calculate_priority_score(p
weights) for p in prospects]
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General
PromptBeginner5 minmarkdown
for i
prospect in enumerate(scored
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General
PromptBeginner5 minmarkdown
signals: {score: signal_score
reason: signal_reason}
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General
PromptBeginner5 minmarkdown
) -> dict[str
Any]:
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