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
