# AWS Bedrock Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/aws-bedrock
> Markdown URL: https://aitinkerers.org/technologies/aws-bedrock.md
> Technology record last updated: 2026-02-22T21:25:10Z
> Generated: 2026-09-22T04:37:57Z

AWS Bedrock is the fully managed, serverless platform providing a unified API gateway to diverse, high-performing foundation models (FMs) from providers like Anthropic, AI21 Labs, and Amazon Titan.

Amazon Bedrock is your fully managed, serverless platform for building and scaling generative AI applications. It offers a single API to access a curated selection of industry-leading foundation models (FMs) from partners (e.g., Anthropic's Claude, Meta's Llama 3.1) and Amazon (Titan family). Developers leverage core features: use Knowledge Bases for Retrieval Augmented Generation (RAG) with proprietary data, deploy Agents for complex task automation, and implement Guardrails for responsible AI policies. This streamlined approach ensures enterprise-grade security and simplifies model customization (fine-tuning) without managing underlying infrastructure.

- Official technology site: https://aws.amazon.com/bedrock/
- Public AI Tinkerers demos and talks: 9
- Result page: 1 of 1

## Recent Public Talks and Demos

### [The Zeitgeist Experiment](https://columbus.aitinkerers.org/talks/rsvp_d1Aa3s-VUoc)

A side project I have been working on that I hope to someday commercialize. Its a little bit like reddit but completely different.

- Event context: AI Tinkerers - Columbus March Meetup — 2026-03-02 — Columbus
- Public talk page: https://columbus.aitinkerers.org/talks/rsvp_d1Aa3s-VUoc

### [No Data for the Witch’s Cauldron: Using Safe, Open-Source AI Chats systems](https://montreal.aitinkerers.org/talks/rsvp_bNbMDKHWgAc)

Stop building chat applications, reuse existing ones and extend them ! Sharing a technical journey to use a safe and compliant solution for chatting with private project data, leveraging local and remote LLMs, internal RAG systems, MCP servers, live voice, image generation, web search, and a code interpreter. The result is similar to ChatGPT but built entirely on open-source technologies and trusted cloud providers LLM APIs. Using OpenWeb UI as the chat front-end, connected to a foundation model on Azure AI and integrated with internal RAG system for documentation. LiteLLM serves as the OpenAPI layer for both OpenWeb UI and server calls, supporting claude code, codex-cli, and a custom workaround for gemini-cli, as we operate exclusively on AWS Bedrock and Azure AI.

- Event context: AI Tinkerers Montreal – Spooky October 2025 Meetup — 2025-10-21 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_bNbMDKHWgAc

### [Benchmarking LLMs for Fraud Detection: Building Tools, Comparing Models, and Lessons Learned](https://minneapolis-saint-paul.aitinkerers.org/talks/rsvp_wTwvFtNfAz4)

Fraud detection on receipt images is a complex challenge that blends computer vision, OCR, embeddings, retrieval-augmented generation, and prompt engineering. In this talk, I’ll share how I built three different benchmarking frameworks to evaluate large language models (LLMs) on fraud detection tasks: 1. AWS Bedrock Benchmarking Tool with AWS CDK – scalable infrastructure for structured testing of foundation models. 2. Local LLM Benchmarking with LangChain + Python – flexible experimentation pipeline for embeddings, OCR, and RAG. 3. API-based LLM Benchmarking (Node.js + LLM APIs) – direct model comparisons across OpenAI, Anthropic, and others. These tools were used to process and analyze receipt images with a mix of OCR, embeddings, RAG, ground-truth human labels, LLM image detection, and prompt engineering. I’ll walk through the design decisions, show real results comparing models, and share insights on what worked, what failed, and where LLMs shine (or struggle) in fraud detection.

- Event context: AI Tinkerers September Meetup - Minneapolis-Saint Paul — 2025-09-10 — Minneapolis Saint Paul
- Public talk page: https://minneapolis-saint-paul.aitinkerers.org/talks/rsvp_wTwvFtNfAz4

### [DevOps Meets AI: Multi-Agent Incident Resolution in Minutes, Not Hours](https://hamburg.aitinkerers.org/talks/rsvp_CgDF8DKg9Jw)

I will demo Hyground, our AI copilot for DevOps that resolves critical incidents in minutes instead of hours. The session will cover a live interaction with our tool, while talking about its architecture and how it provide the output shown in the interaction (i.e., multi-agent LLM design, the data-flow and integrations)

- Event context: AI Tinkerers Hamburg #3 - August 14 — 2025-08-14 — Hamburg
- Public talk page: https://hamburg.aitinkerers.org/talks/rsvp_CgDF8DKg9Jw

### [Building an Agentic AI System That Replaces Digital Ad Agencies: Multi-Stage LLM Architecture with Recursive Planning, Multimodal Analysis, and Novel Optimization Strategies](https://orange-county.aitinkerers.org/talks/rsvp_y1ihXS44YRA)

I'll demonstrate how I built AdRes, a sophisticated agentic AI system that eliminates digital ad agencies through advanced multi-stage Lambda architecture. The demo will showcase our recursive planning system that uses Anthropic Claude 3.5 Sonnet with custom fine-tuned prompts, vector embeddings for campaign similarity matching, and a multimodal creative analysis pipeline using OpenCV and computer vision. I'll walk through the code that powers our unified context system, agentic workflow with tool selection and self-correction, and real-time campaign optimization engine that processes complex multi-source data analysis.

- Event context: AI Tinkerers - Orange County Meetup- Thursday July 31st 2025 — 2025-08-01 — Orange County
- Public talk page: https://orange-county.aitinkerers.org/talks/rsvp_y1ihXS44YRA

### [A Simple production Ready RAG pipeline](https://dublin.aitinkerers.org/talks/rsvp_ILfCX6RtjnQ)

A production ready implementation of RAG showing step by step how RAG with qdrant can be done and coming out of it knowing the fundamental basics of RAG

- Event context: AI Tinkerers - Dublin Event (June) — 2025-06-26 — Dublin
- Public talk page: https://dublin.aitinkerers.org/talks/rsvp_ILfCX6RtjnQ

### [Zero Trust-Proofing and Containerizing AI Agents for Enterprise Deployments](https://toronto.aitinkerers.org/talks/rsvp_9fibOugPX6M)

Identity Machines' SDK and CLI tool for AI agent developers, the Iron Book API for agentic multi-vector security, compliance, and privacy testing (vulnerability scanning with Claude Sonnet 3.7 on Bedrock and OSV, sentiment analysis, security scoring, foundational model and behavioral testing per OWASP LLM Top 10, cryptographic attestation, SBOM creation), AI agent packaging into an OCI-container deployed on EKS, and ongoing work with Google on trust-related enhancements for the A2A protocol (the Iron Vow mechanics).

- Event context: AI Tinkerers Toronto - May 2025 Meetup: AGENTS at Ada — 2025-05-22 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_9fibOugPX6M

### [AWS Bedrock Claude Chatbot](https://austin.aitinkerers.org/talks/rsvp_U2hBZUvpX7Q)

I have recently gotten a powerful customizable open-source conversational AI agent project from AWS Japan up and running in an AWS private cloud. It is based on the Anthropic Claude 3.5 Sonnet foundation model. It includes the same UI that comes with the public Claude Pro subscription. But it adds web search and easy no-code ways of building a RAG context repository. I will give a brief tour of the principal capabilities.

- Event context: AI Tinkerers February Meetup: Community AI Demos - North Austin — 2025-02-14 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_U2hBZUvpX7Q

### [AI-Driven Workflow Validation for Invoices using AWS Bedrock](https://singapore.aitinkerers.org/talks/rsvp_KNjqLIAJ_9c)

This project aims to revolutionize invoice processing by integrating AI-powered workflow validation. Leveraging AWS Bedrock, the AI system will automatically analyze and validate invoices, assigning them the correct workflow with minimal human intervention. This solution is designed to enhance efficiency, reduce errors, and streamline the approval process, making it ideal for businesses looking to optimize their financial operations through cutting-edge technology.

- Event context: AI Tinkerers Singapore: Meetup - September 16th, 2024 — 2024-09-16 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_KNjqLIAJ_9c

## Related Technologies

- [Anthropic](https://aitinkerers.org/technologies/anthropic) ([Markdown](https://aitinkerers.org/technologies/anthropic.md)) — 36 public demos
- [Claude](https://aitinkerers.org/technologies/claude) ([Markdown](https://aitinkerers.org/technologies/claude.md)) — 174 public demos
- [Claude-3](https://aitinkerers.org/technologies/claude-3) ([Markdown](https://aitinkerers.org/technologies/claude-3.md)) — 110 public demos
- [Llama 3](https://aitinkerers.org/technologies/llama-3) ([Markdown](https://aitinkerers.org/technologies/llama-3.md)) — 38 public demos
- [Qdrant](https://aitinkerers.org/technologies/qdrant) ([Markdown](https://aitinkerers.org/technologies/qdrant.md)) — 17 public demos
- [Sonnet](https://aitinkerers.org/technologies/sonnet) ([Markdown](https://aitinkerers.org/technologies/sonnet.md)) — 25 public demos
- [Amazon Titan](https://aitinkerers.org/technologies/amazon-titan) ([Markdown](https://aitinkerers.org/technologies/amazon-titan.md)) — 1 public demo
- [Anthropic API](https://aitinkerers.org/technologies/anthropic-api) ([Markdown](https://aitinkerers.org/technologies/anthropic-api.md)) — 66 public demos
- [AWS CDK](https://aitinkerers.org/technologies/aws-cdk) ([Markdown](https://aitinkerers.org/technologies/aws-cdk.md)) — 3 public demos
- [AWS CloudFormation](https://aitinkerers.org/technologies/aws-cloudformation) ([Markdown](https://aitinkerers.org/technologies/aws-cloudformation.md)) — 1 public demo
- [AWS EKS](https://aitinkerers.org/technologies/aws-eks) ([Markdown](https://aitinkerers.org/technologies/aws-eks.md)) — 1 public demo
- [AWS Nitro Enclaves](https://aitinkerers.org/technologies/aws-nitro-enclaves) ([Markdown](https://aitinkerers.org/technologies/aws-nitro-enclaves.md)) — 3 public demos
- [AWS Private Cloud](https://aitinkerers.org/technologies/aws-private-cloud) ([Markdown](https://aitinkerers.org/technologies/aws-private-cloud.md)) — 1 public demo
- [Claude API](https://aitinkerers.org/technologies/claude-api) ([Markdown](https://aitinkerers.org/technologies/claude-api.md)) — 21 public demos
- [Claude Pro](https://aitinkerers.org/technologies/claude-pro) ([Markdown](https://aitinkerers.org/technologies/claude-pro.md)) — 1 public demo
- [Claude Sonnet 4](https://aitinkerers.org/technologies/claude-sonnet-4) ([Markdown](https://aitinkerers.org/technologies/claude-sonnet-4.md)) — 18 public demos
- [Cosign](https://aitinkerers.org/technologies/cosign) ([Markdown](https://aitinkerers.org/technologies/cosign.md)) — 1 public demo
- [Gemini CLI](https://aitinkerers.org/technologies/gemini-cli) ([Markdown](https://aitinkerers.org/technologies/gemini-cli.md)) — 16 public demos