Over 100 million people now use LLMs, yet prompt quality remains the biggest bottleneck. vague inputs lead to unpredictable outputs, wasted tokens, and stalled projects. I built PromptDuck to treat prompts as first-class code: automatically structuring, enriching, and optimizing them so AI does exactly what you intend, every time. What’s new & unique compared to alternatives? AI Context Layer – not just templating but real-time domain research, injecting industry best practices, audience insights, and competitive context. Multi-Mode Container – switch between Lovable, Replit, Cursor, Bolt, and “Default” modes, each tuned with its own heuristics. 120+ Heuristics Engine – rule-based transformations for clarity, structure, and format, running client-side in < 200 ms. Token-Savings Analytics – average prompt length ↓ 32 %, token use ↓ 40 %, surfaced instantly. Live Playground & Exports – inline prompt preview + JSON/Markdown/CSV export, ready for any workflow. Who It’s For Developers building LLM integrations or chatbots Founders & PMs drafting AI-powered product specs Writers & Marketers generating structured copy & campaigns Researchers summarizing and analyzing complex data

PromptDuck

Prompt like a pro

Prompt like a pro