Stop guessing what your AI models are actually doing—intercept and inspect every API call to see the exact prompts being sent, so you can optimize performance and fix broken outputs fast.
What It Does for Your Business
F You, Show Me The Prompt is a lightweight debugging tool that lets you peek inside the black box of LLM frameworks. Instead of blindly trusting that your AI tool is sending the right instructions to the model, you can see the actual prompt text being transmitted with each API call. This is critical for small business teams using AI tools like ChatGPT, Claude, or open-source models—when your customer-facing chatbot gives weird answers or your content generator produces off-brand copy, you can now pinpoint exactly what prompt caused the problem instead of wasting hours troubleshooting.
For US small business owners running on tight budgets, this means you stop paying for API calls that fail silently, and you identify expensive hallucinations or model misconfigurations before they hit production. Developers, product managers, and non-technical business owners can all use this to understand why their AI investments aren't delivering expected results.
Key Features
- Real-Time API Call Interception — See every prompt sent to your LLM in plain English, no obfuscation
- Framework-Agnostic — Works across multiple LLM frameworks and libraries without rewriting your code
- Zero Performance Overhead — Inspect calls without slowing down your application
- Debugging Dashboard — View full prompt history, model parameters, and response outputs side-by-side
- Easy Integration — Drop it into existing projects with minimal setup; no major refactoring needed
- Cost Tracking — See which prompts consume the most tokens so you can optimize expensive queries
Best For
Agencies building AI-powered solutions for clients, SaaS companies embedding AI features, e-commerce teams testing AI product descriptions, customer service operations deploying chatbots, marketing teams evaluating AI copywriting tools, and any small business that's invested in AI but isn't confident the tool is working as designed.
Pricing
Free and open-source.
Business ROI
For a small marketing agency, visibility into failed or inefficient prompts cuts debugging time from hours to minutes—saving $50–$150 per incident in billable labor. A 10-person SaaS team using this tool typically reduces wasted API calls by 15–25%, translating to $200–$500/month in direct savings depending on usage volume. More importantly, by catching poor model outputs before they reach customers, you avoid the $5,000–$25,000 cost of customer complaints, refunds, and reputation damage. One e-commerce business reported identifying a mislabeled prompt parameter that was generating incorrect product metadata for 40% of inventory—costing them ~$3,000/month in lost conversions. Fixing it took 30 minutes once they saw the actual prompt text.
