It's compelling to see how architectural enhancements like Graph Engineering can yield such substantial improvements in agentic system performance, even with the same underlying models. The transition from self-review cycles alone to a system where agents collaboratively build and interrogate a knowledge graph represents a significant leap. This structured approach to information flow and validation is precisely what moves us toward more reliable and capable AI applications.
How do you store the prompts that actually work?
📝 Saved doc / Notion
💾 Custom GPT or project
🤷 Just remember
🗑️ I don't (and regret it)
The last group is most of us. Be honest.
PM drill:
Write a prompt that takes a feature request from a customer and outputs:
- The actual user problem (not the feature)
- 3 ways to solve that problem
- Which solution gives you the most leverage long-term
You just turned customer requests into product strategy. In one prompt.
Strategy prompt that gives you platitudes:
❌ "What should our 2026 strategy be?"
Strategy prompt that gives you a real plan:
✅ "We're at $5M ARR, growing 80% YoY, 60% gross margin, two threats: incumbent A bundling our category for free; new entrant B undercutting on price. We have 18 months' runway. Frame 3 strategic options for 2026: defensive, offensive, repositioning. For each: bet, cost, success metric, kill criteria."
Strategy prompts need actual context. No model is psychic.
Stop optimizing your prompts for length.
Start optimizing them for clarity.
The best prompts are long because they need to be, not because longer = better.
Founders, try this exact mission:
Write a prompt that takes your competitor's pricing page and outputs the exact reasoning behind each pricing tier, the customer they're targeting, and the objection each tier handles.
Now you understand their GTM better than most of their employees do.
We built this exact teardown muscle into https://t.co/jsa5e1lJST.
The single most underrated prompt technique:
Telling the model what NOT to do.
"Don't use bullet points. Don't say 'leverage.' Don't apologize."
Half my best prompts are negative space.
Hiring rejection prompt that burns bridges:
❌ "Write a rejection email to a candidate."
Hiring rejection prompt that builds your pipeline:
✅ "Write a rejection to a strong candidate we're not hiring this round. They were our #2, sharp, but we needed deeper [X]. Be specific about what we liked. Explain the actual reason without weaseling. Invite future contact. Tone: how you'd want to be told no."
The people you reject will refer the people you'll hire.
What's the most underrated thing AI has changed in your work?
📝 First drafts
🧠 Thinking partner
📚 Learning new domains
⏱️ Repetitive task speed
The quiet wins are the real wins.
Engineers, here is the drill:
Write a prompt that takes a stack trace and outputs:
- The most likely root cause (ranked)
- The 2 things you'd check first to confirm
- The fix pattern
Get it working. You just built a senior engineer in a prompt.
Customer interview prompt that wastes the call:
❌ "Give me 10 questions to ask a customer."
Customer interview prompt that finds gold:
✅ "I'm interviewing a customer who churned 60 days ago. They were on our $99 plan for 8 months. I want to learn: (1) when they realized they'd churn, (2) what would've changed their mind, (3) what they're using instead. Write 10 questions, ordered from rapport-builder to gut-punch. Each with the underlying signal we're trying to surface."
Good interviews aren't lists of questions. They're hypothesis tests.
In 2 years, "can write effective prompts" will be a bullet on every job description.
In 5, it'll be assumed. The people who built the muscle now will be running things.
@kidtsang Totally, in today's world, clarity is the most important aspect because till the time you don't have clarity, AI won't be able to help you achieve that!
Marketers, write a prompt that:
Takes your last 10 customer testimonials and surfaces the 3 specific phrases that keep showing up unprompted.
Those phrases ARE your positioning. Not what you wrote in your pitch deck.
Real mission, real output. Build this kind of muscle on https://t.co/jsa5e1lJST.
Cold outreach prompt that gets ignored:
❌ "Write a cold email to a potential customer."
Cold outreach prompt that gets meetings:
✅ "Write a cold email to [Name, Title, Company]. They posted about [specific topic] last week. We solve a problem in that space. Email rules: 4 lines max, lead with their post, not us, one specific question they'd want to answer, no calendar links in v1. Tone: peer who noticed something, not vendor pitching."
The rules ARE the prompt. Constraints make it work.
Ops drill:
Write a prompt that takes your team's last 30 days of Slack messages from a project channel and outputs:
- Decisions made
- Decisions deferred
- Open questions nobody answered
This prompt is worth more than most project management software.