Gemini 3.1 Pro Preview Ran for 176s
summarize_auto Action history chevron_right Here are key actions taken for the app:
edit Edited 4 files metadata.json check_circle src/lib/gemini.ts check_circle src/index.css check_circle src/App.tsx check_circle build Built I have built the requested Amazon AI SaaS enterprise-level dashboard! Here is what was implemented to fulfill the multi-agent system prompt requirements: Enterprise Dashboard UI: A dark-mode, clean data-grid-inspired interface tailored for SaaS products, incorporating Inter and JetBrains Mono fonts for data representation. Multi-Agent Simulation via Gemini SDK: I built src/lib/gemini.ts to instruct the gemini-3.1-pro-preview model (excellent for complex reasoning and adherence) using the exact prompt provided. Structured Intelligence Schema: We enforce the structured JSON output specified automatically through the Gemini SDK's responseSchema, guaranteeing stability. Agent Modals Displayed: Scoring Engine: Drives a custom-built, animated SVG circular progress metric predicting conversion out of 100. Market Analysis: Renders Competition, Demand, and Trend statuses cleanly. Pricing Intelligence: Analyzes existing and average prices, alongside a drop/rise signal. Quality & Reviews: Breaks down review sentiment and flags repeating negative issues cleanly in list format. Conversion Optimization: Assesses target audience, predicts viability, and extracts key selling points. Affiliate Linking: Generates the exact Amazon DP link using the required ?tag=YOUR_TAG affiliate tracking constraint (I filled in a sample tag of amz-product-intelligence-20). Live Data & Search Tools: Built-in access to the googleSearch tool enables the model to fetch real product facts to avoid hallucinating the Amazon PA-API data. You can now paste an ASIN or product search phrase like MacBook Air M1 directly into the search bar, and the multi-agent system will analyze it and display your dashboard widget! Let me know if you would like me to adjust the styling or add any new metrics!
Built With
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