renatosviana/bank-tech-agent
AI-powered research workflow that analyzes public signals about a bank’s technology landscape and generates exploratory architecture proposals. Built with Claude, FastAPI, and Server-Sent Events.
SUMMARY AI summary by gpt-5-mini
Bank Tech Discovery Agent is an AI-assisted workflow that analyzes public signals about a bank’s technology landscape and generates exploratory architecture proposals focused on distributed ledger and event-driven modernization. Intended for technical consultants, solution architects, sales engineers and enterprise modernization teams evaluating integration or go-to-market fit. Key features: - Four-step streaming analysis: Research, Stack mapping, Gap analysis, and a Matera proposal (fit, entry points, integration considerations). - Built with Anthropic Claude, FastAPI, and Server-Sent Events for live progress streaming. - Autosaves standalone HTML reports to reports/ for meeting leave-behinds. - Prompts are editable in main.py; model and API key set via .env. - Local-only report storage; no live web crawling unless a web_search tool is added. Requires Python 3.10+ and an Anthropic API key.
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Owner
Principal Software Engineer · Kafka & Event-Driven Architect · Governed AI Systems
Dates
| Created on GitHub | 2026-05-07 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 15:42 |
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