u/nafiulhasanbd

I've been building Shopify customizations and e-commerce tools for a few years. During that time, every single one of my clients started using ChatGPT, Claude, or Gemini.

Their outputs were not great.

Not because the AI tools are bad. Because they were typing things like "write a product description" and expecting the AI to read their minds. When the output was mediocre, they'd conclude the tool was useless.

I tried explaining prompt structure. Role + context + constraint + format. Eyes glazed over immediately.

I started writing prompts for them as part of client deliverables — better prompts, better results, they came back. But I couldn't scale it. And I started resenting doing it for free.

What I built:

Prompt Architects is a Chrome extension and web app that automatically transforms basic prompts into structured, model-ready instructions. You type what you mean — it adds what the AI needs to hear.

How it works:

→ Type your prompt naturally

→ Click enhance (or use the hotkey inside ChatGPT, Claude, or Gemini via the Chrome extension)

→ Get a structured prompt with role, context, constraints, and format — automatically

It also detects which model you're using and optimizes accordingly. ChatGPT, Claude, and Gemini respond differently to the same inputs.

Where it's at right now:

Launched today on AppSumo as a lifetime deal. I figured I'd share here since this community helped me figure out whether anyone would actually want this before I built it.

What I'd love feedback on:

The intent detection is the trickiest part — figuring out what someone actually means when they type a three-word prompt. What types of prompts do you find yourself rewriting most often? Knowing where it breaks most commonly would help me improve it.

Happy to answer anything about the build, the tech stack, or what the AppSumo launch process is actually like.

AppSumo live link on comment.

I spent a month logging every email — type, time to respond, whether it was actually necessary, time spent context-switching. The numbers were eye-opening.

Findings:

• Average received: 121 emails/day
• ~73% required no reply — just needed to be filed or acknowledged
• Context-switching between emails cost me 2+ focused hours/day
• 3 emails in 30 days slipped through with real business consequences — all three were buried under newsletter clutter

The biggest surprise: email isn't the problem. Triage is the problem. We have no good system for quickly understanding which emails matter, in what order, with what context.

I'm not selling anything here — just genuinely curious if others have tracked this. What did you find? What's your actual system for dealing with high-volume inboxes?

I spent a month logging every email — type, time to respond, whether it was actually necessary, time spent context-switching. The numbers were eye-opening.

Findings:

• Average received: 121 emails/day
• ~73% required no reply — just needed to be filed or acknowledged
• Context-switching between emails cost me 2+ focused hours/day
• 3 emails in 30 days slipped through with real business consequences — all three were buried under newsletter clutter

The biggest surprise: email isn't the problem. Triage is the problem. We have no good system for quickly understanding which emails matter, in what order, with what context.

I'm not selling anything here — just genuinely curious if others have tracked this. What did you find? What's your actual system for dealing with high-volume inboxes?

Prompt Architects — Chrome extension that turns basic prompts into structured AI instructions in one click

Problem: Most people using ChatGPT, Claude, or Gemini get mediocre output because their prompts lack structure. "Write a blog post" is a suggestion. An effective prompt adds role, context, constraints, and format. Almost nobody does this naturally — and explaining prompt engineering doesn't scale.

What's different: Prompt Architects detects your intent and adds the structure automatically. No prompt library to browse, no blanks to fill in. Works in-app via Chrome extension across ChatGPT, Claude, and Gemini. Also optimizes per model — the same prompt structures don't land equally across all three.

Current stage: Live on AppSumo as a lifetime deal today. First AppSumo launch, solo founder.

Looking for: Feedback from people who use AI heavily for work — what's the prompt category you find yourself rewriting most? Trying to prioritize where intent detection needs the most work.

More details on Comment:

Happy to answer anything!

I've been building Shopify customizations and e-commerce tools for a few years. During that time, every single one of my clients started using ChatGPT, Claude, or Gemini.

Their outputs were not great.

Not because the AI tools are bad. Because they were typing things like "write a product description" and expecting the AI to read their minds. When the output was mediocre, they'd conclude the tool was useless.

I tried explaining prompt structure. Role + context + constraint + format. Eyes glazed over immediately.

I started writing prompts for them as part of client deliverables — better prompts, better results, they came back. But I couldn't scale it. And I started resenting doing it for free.

What I built:

Prompt Architects is a Chrome extension and web app that automatically transforms basic prompts into structured, model-ready instructions. You type what you mean — it adds what the AI needs to hear.

How it works:

→ Type your prompt naturally

→ Click enhance (or use the hotkey inside ChatGPT, Claude, or Gemini via the Chrome extension)

→ Get a structured prompt with role, context, constraints, and format — automatically

It also detects which model you're using and optimizes accordingly. ChatGPT, Claude, and Gemini respond differently to the same inputs.

Where it's at right now:

Launched today on AppSumo as a lifetime deal. I figured I'd share here since this community helped me figure out whether anyone would actually want this before I built it.

What I'd love feedback on:

The intent detection is the trickiest part — figuring out what someone actually means when they type a three-word prompt. What types of prompts do you find yourself rewriting most often? Knowing where it breaks most commonly would help me improve it.

Happy to answer anything about the build, the tech stack, or what the AppSumo launch process is actually like.

AppSumo live link on comment.