Skip to content
View cornelcroi's full-sized avatar

Block or report cornelcroi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
cornelcroi/README.md

20+ years of shipping software. The last few, shipping with AI.

7 years at AWS as a Solutions Architect, building GenAI prototypes with customers across EMEA from the early days of LLMs, when Claude 3 was the new model. Now Staff GenAI Solutions Architect at Betclic and co-founder of two travel products in production. Along the way: a 7k-star agent orchestration framework and a family of MCP servers.

A few years of building with LLMs taught me three things. Most problems still want a query, a rule or a cron job, not a prompt. When a model does belong, the pattern matters more than the prompt: an agent that sees the data but never writes the reply, a pipeline that extracts facts before it narrates, a second model as reviewer instead of author. And a model is a fast pair of hands, not an architect. It writes code, docs and tests under my direction, and nothing I can't explain gets shipped.

I keep trying new patterns and write up the ones that hold: the librarian pattern, which keeps an AI coding assistant from breaking my app, and place extraction, where the model reads and never invents. Latest experiment: on-device agent orchestration in Swift.

🚀 Live Products

Two travel products for the two halves of a trip: StreetLens while you're there, Back From My Trip once you're back.

Product What it does Role
🌍 StreetLens Hear the story of the places around you, in your language. 6 cities, 8 languages, GPS-triggered narration. No account, no ads, pay per place. Every story is written by an LLM pipeline from extracted, source-tagged facts, validated against them, repaired or dropped. A new city in days. streetlensapp.com · App Store Co-founder
🧳 Back From My Trip Travel community where real travellers write trip reports that end with one honest question: would I go back? No star ratings. Behind the scenes an LLM pipeline moderates reports, extracts the places you mention and verifies photos. AI assists, never invents. backfrommytrip.com Co-founder

🤖 Open Source

Project What it is Role
🧠 Agent Squad Lightweight multi-agent orchestration framework. Python, TypeScript and Swift. Includes GroundedAgent: the agent that calls the tools never writes the reply. 7k⭐, formerly at AWS Labs. NPM · PyPI Co-author
🧩 Context Lens MCP server for semantic search over local files and GitHub repositories. Think of it as SQLite for AI embeddings. Author
📊 Data Lens MCP server to ask questions about spreadsheets in plain English. Excel, CSV, Parquet, powered by DuckDB. Author
🗣️ Ask James MCP server that gets a second opinion from another LLM inside your assistant. Author
☁️ CloudFront Hosting Toolkit CLI to deploy fast and secure frontends on Amazon CloudFront. NPM Main maintainer

✍️ Writing

Date Title Platform
07 SEP 2026 You just write. The places find themselves. dev.to
26 AUG 2026 The Librarian Pattern: How I Keep My AI Coding Assistant from Breaking My App dev.to
12 NOV 2025 Context-Lens: A Serverless, Open-Source MCP Server for AI Document Understanding Medium
28 NOV 2024 Unlock Bedrock InvokeInlineAgent API's Hidden Potential with Multi-Agent Orchestrator community.aws
12 SEP 2024 Beyond Auto-Replies: Building an AI-Powered E-commerce Support System community.aws
04 JUN 2024 Introducing CloudFront Hosting Toolkit AWS Blog
10 JAN 2023 How DAZN Uses AWS Step Functions to Orchestrate Event-Based Video Streaming at Scale AWS Blog
☁️ Earlier work at AWS

Always building.
If you're solving a real problem with AI and less code, reach out.

LinkedIn

Pinned Loading

  1. 2FastLabs/agent-squad 2FastLabs/agent-squad Public

    Flexible and powerful framework for managing multiple AI agents and handling complex conversations

    Swift 7.8k 740

  2. context-lens context-lens Public

    Semantic search knowledge base for MCP-enabled AI assistants. Index local files or GitHub repos, query with natural language. Built on LanceDB vector storage. Works with Claude Desktop, Cursor, and…

    Python 24 2

  3. data-lens data-lens Public

    Ask questions about spreadsheets in plain English. Excel, CSV, Parquet analysis powered by DuckDB. Natural language to SQL for MCP-enabled AI assistants. Works with Claude Desktop, Cursor, and othe…

    Python 2