Turning a painful AI process into a perfect plan with Pretty Prompt

Are you sick of typing quick, vague prompts into AI tools like ChatGPT or Gemini – and then spending ages refining the back-and-forth? We all know it’s inefficient and frustrating and it often leaves our great ideas buried under weak instructions.

Founded by Ilai Szpiezak, Pretty Prompt is a Chrome extension that works like “Grammarly for prompts”. It rewrites your inputs into clear, structured, best-practice instructions that trigger stronger AI outputs. With features like an Improve option, a Refine mode that asks clarifying questions, and a built-in Prompt Library, it’s already helping more than 6,000 users get more value from their AI tools.

In this Founder Interview, SeedLegals CEO Anthony Rose chats with Ilai about spotting product-market fit in just seven weeks, building a tool that creators are organically promoting on TikTok, and why the next big challenge is keeping up with feature requests as demand surges

Key takeaways

The problem with AI prompts

• Most people type short, vague prompts like “help me write a LinkedIn post,” which rarely deliver the output they want.
• This forces a time-consuming back-and-forth with tools like ChatGPT, Gemini, or Claude until the user gets something useful.
• Without prompt engineering knowledge, it’s easy to miss out on the full potential of AI.

Pretty Prompt’s solution

• Pretty Prompt is a Chrome extension that optimises inputs for the best AI outcomes.
• It offers two modes: Improve (automatic rephrasing using prompt-engineering best practices) and Refine (asking targeted clarifying questions).
• The Prompt Library lets users save their favourite prompts directly in the extension, making them easy to reuse without spreadsheets or Notion files.

Traction and growth

• Launched just seven weeks ago, Pretty Prompt already has an impressive user base,  including professionals at LinkedIn, Wix, Upwork, and more.
• The tool has spread organically, with users even making TikTok videos showcasing it – prompting Ilai and his team to pivot and double down.
• With a surge in feature requests, feedback, and bugs to fix, the team is feeling the unmistakable pull of product-market fit and preparing for rapid growth