# Amazon EC2 Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/amazon-ec2
> Markdown URL: https://aitinkerers.org/technologies/amazon-ec2.md
> Technology record last updated: 2026-03-12T06:48:27Z
> Generated: 2026-09-21T04:44:02Z

Provision and manage resizable compute capacity (virtual servers, or 'instances') on the AWS cloud.

Amazon Elastic Compute Cloud (EC2) delivers secure, scalable compute infrastructure: We offer the industry's broadest platform, featuring over 1000 instance types optimized for diverse workloads (e.g., General Purpose, Compute Optimized). You select an Amazon Machine Image (AMI) — essentially a template with your OS and software — to launch a virtual server. EC2 supports multiple operating systems, including Amazon Linux, Ubuntu, Windows Server, and macOS. Key services like Auto Scaling and Elastic Load Balancing (ELB) are integrated to automatically adjust capacity and distribute traffic across instances, guaranteeing high availability and performance.

- Official technology site: https://aws.amazon.com/ec2/
- Public AI Tinkerers demos and talks: 7
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Agents Are Not Service Accounts: Post-Quantum Channels and Zero-Knowledge Delegation Between AI Agents, Live](https://dubai.aitinkerers.org/talks/rsvp__l-10tNvOo4)

Agent Trust Lab is a live simulator where two AI agents establish a quantum-resistant channel and prove delegated authority without revealing credentials. The scenario: a user delegates vacation booking up to a EUR 3,000 budget, and the agent proves that authorization to a counterparty without exposing who the user is or what else it may do. The same exchange runs side by side across three models: classical (X25519 + bearer token), PQC without ZKP (X25519 + ML-KEM-768 hybrid), and PQC + ZKP (Schnorr proof over the encrypted link), so you can watch exactly where each pattern leaks. It runs live at trustlab.mahasbini.org: the three-model exchange, a quantum-attack toggle that breaks the classical session while the hybrid one holds, and an audit-receipt tamper test where editing any bound field (responder, negotiated group, session commitment) invalidates the receipt in front of you. The demo closed with the real thing in production: a self-hosted video-conferencing stack negotiating X25519MLKEM768 on TLS 1.3 (OpenSSL 3.5), inspected live from the browser. No slides, no LLM on stage: this is the layer your agents stand on.

- Event context: AI Tinkerers Dubai — August Demo Day — 2026-08-08 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp__l-10tNvOo4

### [AI Powered Company Evaluation &amp; Coaching](https://cairo.aitinkerers.org/talks/rsvp_erT3jGWE7MU)

VCDNA is a multi-agent platform that evaluates and coaches the companies companies you consider - turning each into a consistent, evidence-traced, IC-evidence-traced, IC-ready assessment.

- Event context: AI Tinkerers Cairo: Inaugural Meetup — 2026-07-01 — Cairo
- Public talk page: https://cairo.aitinkerers.org/talks/rsvp_erT3jGWE7MU

### [Hacking The Browser For Fun ~And Profit~](https://sf.aitinkerers.org/talks/rsvp_dZETAb_xF00)

We'll talk about XBOW's research into native application hacking: the agents' structure, objectives, and inner "iteration" patterns which worked to discover a few dozen high severity bugs in Chromium, including demoing an exploit of one vulnerability which has already been patched.

- Event context: AI Tinkerers San Francisco: Offensive Security Demo Night — 2026-06-26 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_dZETAb_xF00

### [Building your personal agent.](https://islamabad-rawalpindi.aitinkerers.org/talks/rsvp_M-88KcLuirQ)

I have a personal agent setup which runs on a cloud VM and helps me through various tasks. It has access to my calendar, meeting recordings, interviews, feedback, daily notes, notes management, learning new skills, managing my talks, my podcast, my finance, etc. In this session I covered a very specific use case that I'm using around getting feedback for my one-on-one meetings. I showed them how I have set up my pipeline that records and transcribes my meetings and stores them in specific notes in my Obsidian, we reviewed the prompts and the rubrics that are used to analyze those transcripts and generate feedback. At the start of the week, that feedback is aggregated, and one insight is generated to show on my daily note. This allows me to work on that feedback throughout the week and then see if I've done better the following week when the results come in again. There is no project URL for this since this is my personal setup on my local machine.

- Event context: AI Tinkerers Inaugural Islamabad Meetup - June 12, 2026 — 2026-06-12 — Islamabad Rawalpindi
- Public talk page: https://islamabad-rawalpindi.aitinkerers.org/talks/rsvp_M-88KcLuirQ

### [The Future of Taxes](https://st-louis.aitinkerers.org/talks/rsvp_WsQcRPj15Rg)

My startup company is developing a tax AI product called Fiscal Mind. The idea is for CPAs to have clients take photos of their tax documents and upload it and once we have enough fiscal data then we calculate their taxes owed and also suggest ways for the next year on how to lower tax costs slightly. This streamlines the process and saves over 70% of a CPA's time since typical tax filings can take anywhere from 8 hours to 5 days. It is meant as an assistant not to completely take over.

- Event context: AI Tinkerers – St. Louis Meetup: February 4, 2026 — 2026-02-04 — St. Louis
- Public talk page: https://st-louis.aitinkerers.org/talks/rsvp_WsQcRPj15Rg

### [Our in-house analytics agent &amp; Lessons learned from agent-to-agent communication](https://london.aitinkerers.org/talks/rsvp_QpzOxgqxuiQ)

This is a rapid, two-part "show-and-tell" straight from our build logs. The 1-Day BI Platform: We'll show how we built a self-serve internal BI tool for our (very small) team. We'll walk through the implementation of a simple Streamlit app, hosted on EC2, that uses Claude to generate and run data queries on the fly. This lets our non-technical folks "vibe up" dashboards instantly. We'll show the core code and prompt structure. When Agents Talk to Agents: We'll share technical insights from having our two core AI agents, "Jack" and "Jill," in production and communicating with each other for the last three months. This isn't a product pitch; it's a technical review of the architecture and the messy discoveries we made building a product reliant on agent-to-agent communication.

- Event context: AI Tinkerers London Meetup - 29th October 2025 — 2025-10-29 — London
- Public talk page: https://london.aitinkerers.org/talks/rsvp_QpzOxgqxuiQ

### [AI SQL Agent](https://dubai.aitinkerers.org/talks/rsvp_FMQcpud78S0)

An AI-driven system that automates real-time executive briefings and business insights to enhance decision-making. Text to SQL generator that taken in Simple English analytical questions as input and outputs the answer via a SQL Generator.

- Event context: AI Tinkerers Dubai - April 2025 - Demos Night! — 2025-04-11 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp_FMQcpud78S0

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