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Technical Specification: Agentic Financial Intelligence & Predictive Analytics (pi.dev)

1. System Overview

An autonomous AI ecosystem designed for high-frequency financial data orchestration, chart pattern recognition, and conversational market intelligence. The platform leverages pi.dev for agentic workflows and Gemini 3.0 for multimodal reasoning, allowing traders to perform natural language "What-if" analysis on live and historical stock data.

2. Technical Stack

  • Orchestration: pi.dev (Agentic Workflow Framework)
  • Reasoning Engine: Gemini 3.0 (Long-Context & Multimodal Vision)
  • Execution: Node.js 20 / TypeScript 5.x
  • Database: PostgreSQL with pgvector (Hybrid Search & State Persistence)
@melih-modus
melih-modus / healthcare_product_vision_AI.md
Last active April 24, 2026 10:49
Healthcare Product Vision AI

Technical Specification

1. System Overview

A clinical-grade multimodal platform built on Google Cloud Platform (GCP) designed to automate the extraction and validation of medical data from healthcare product labels. The system leverages Gemini 3.0 for native visual reasoning and PostgreSQL for strict relational data management, orchestrated through a TypeScript ecosystem.

2. Technical Stack

  • Model Engine: Gemini 3.0 (Multimodal Vision & Text)
  • Execution: Node.js 20 / TypeScript 5.x
  • Serverless: Google Cloud Functions (2nd Gen)
  • Storage: Google Cloud Storage (GCS)