Paste a prompt. Get an optimized version. Ship better work.
Most crypto traders using AI are getting mediocre outputs. Not because the models are bad. Because the prompts are. I know because I was doing it too.
I've been building OnChainIntel, an AI-powered crypto wallet behavioral analysis tool for months. The single biggest lever on output quality wasn't which model I used. It was how precisely I instructed it.
The problem: there was no standardized way to measure prompt quality. No CPM equivalent for prompts like there is for advertising. No cited framework a non-technical user could apply.
Tonight I shipped PQS aka Prompt Quality Score. The world's first named AI prompt quality score.
Real example:
Prompt: "who are the smartest wallets on solana right now"
Original output: generic whale list, no entry signals, nothing actionable. Score: 9/40.
Optimized output: token age under 3 days, under 500 holders, top 10 wallets under 30% supply, $50k+ 24h volume, smart money entry signals per candidate. Score: 35/40. +84% improvement.
Same model. Same API. Completely different output.
How it works:
PQS scores prompts across 8 attributes in 2 layers, prompt-side quality (specificity, context, clarity, predictability) and output-side quality (completeness, relevancy, reasoning depth, faithfulness). Built on 5 cited academic frameworks: PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE.
8 attributes. 5 frameworks. 1 score.
It runs your original prompt, optimizes it using the PQS framework, runs both, and shows you the actual outputs side by side. The output difference is the proof. No trust required.
Why this matters for crypto:
Every on-chain analysis prompt you're running is probably scoring under 15/40. That means you're getting 40% of the value your model is capable of delivering. Better prompts mean better wallet analysis, better token research, better trade signals.
Try it free: https://pqs.onchainintel.net
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About OnChainIntel — AI-powered on-chain wallet analysis. We decode the behavioral patterns, hidden biases, and implicit bets behind any wallet's transaction history. Try it free at onchainintel.net · Follow us on X: @OnChainAIIntel · TikTok: @onchainintel · YouTube: @OnChainAIIntel
