Amrut Patil
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apatil.bsky.social
Amrut Patil
@apatil.bsky.social
💼Engineering leader building AI-powered micro SaaS to $1M ARR.
📌Helping 9–5 pros escape the grind with automation & AI systems.
📬Get the playbooks ↓

https://www.skool.com/the-ai-business-playbook-2451/about?ref=220034dbd324403b95eb813c64b7877e
I’m building a portfolio of AI-powered micro SaaS products to $1M ARR.

Every week, I share what’s working - playbooks, tools, workflows, lessons.

Join me inside The AI Business Playbook and start building your own.

📩 Get the playbooks → www.skool.com/the-ai-busin...
The AI Business Playbook
Build micro SaaS with AI. Use real workflows, proven tools, and high-leverage systems that scale.
www.skool.com
October 20, 2025 at 2:52 AM
Great prompt engineering is less art, more engineering discipline.

Version control, testing, iteration, and measurement matter more than finding the “perfect” wording.

What’s working for you? I’d love to hear what you’re learning 👇
October 20, 2025 at 2:52 AM
10/ Build defenses into every prompt

Users will find creative ways to break your system, accidentally or on purpose.

Test for prompt injection and edge cases before launch, not after your first incident.
October 20, 2025 at 2:52 AM
9/ Foundation first

Get your system prompt rock solid before obsessing over user-facing prompts.

90% of behavioral issues stem from unclear base instructions.
October 20, 2025 at 2:52 AM
8/ Let AI help write AI prompts

Sounds weird, but it works.

Use the model to help refine its own instructions. It often knows better than you what phrasing will click.
October 20, 2025 at 2:52 AM
7/ Complexity isn’t always your friend

More reasoning steps can help or hurt.

Start with the simplest approach that could work. Add complexity only when results prove you need it.
October 20, 2025 at 2:52 AM
6/ Different models, different approaches

What works beautifully in one model might flop in another.
Each has its own personality and quirks.

Optimize for the specific model you’re using, not some generic “best practice.”
October 20, 2025 at 2:52 AM
5/ Don’t sleep on temperature settings

Everyone tweaks wording endlessly.

Few people experiment with temperature, top_p, or other parameters.

Sometimes the fix isn’t better words, it’s better configuration.
October 20, 2025 at 2:52 AM
4/ Bring in domain experts early

Engineers write great code. But if you’re building healthcare AI, legal tools, or financial systems?

Get actual practitioners involved in prompt design. They’ll spot issues you’d never see coming.
October 20, 2025 at 2:52 AM
3/ Test with real chaos

Your prompt works great with ideal inputs?

Cool. Now test it with typos, edge cases, weird formatting, and contradictory requests.

Production doesn’t send you perfect data.
October 20, 2025 at 2:52 AM
2/ Your prompts deserve version control

Track every change. Test before deploying. Monitor what breaks.

Prompts are code. Treat them that way or pay the price when something stops working and you can’t figure out why.
October 20, 2025 at 2:52 AM
1/ Show, don’t just tell

Detailed instructions sound smart but often underperform.

A few solid examples teach the model what you want faster than paragraphs of rules.

Think of it like training a person, demonstration beats explanation.
October 20, 2025 at 2:52 AM
Lack of engagement
July 19, 2025 at 11:17 PM