# Orchestration Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/orchestration
> Markdown URL: https://aitinkerers.org/technologies/orchestration.md
> Technology record last updated: 2026-02-26T04:54:01Z
> Generated: 2026-09-23T03:49:38Z

Orchestration is the coordinated execution of multiple automated tasks and systems: it sequences complex workflows across disparate domains for a unified, end-to-end result.

Orchestration moves beyond simple automation. It is the centralized management layer that coordinates automated tasks across multiple systems, applications, and services. Think of it as the conductor for your entire IT workflow: it ensures individual automations (like a provisioning script) execute in the correct sequence across different domains (like network, storage, and compute). Tools such as Kubernetes handle container orchestration; Jenkins manages CI/CD pipelines. A comprehensive solution like Red Hat Ansible Automation Platform then integrates these tools, eliminating manual handoffs and reducing provisioning errors. This process delivers faster application deployment, consistent configuration, and significant operational efficiency at scale.

- Official technology site: https://www.redhat.com/en/topics/automation/what-is-orchestration
- Public AI Tinkerers demos and talks: 7
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Building an AI publishing platform with an AI dev squad](https://tokyo.aitinkerers.org/talks/rsvp_CzSJETAJ9-4)

CloudAuthor — a full-stack AI authoring platform, 14 agents, 27 skills, 300+ tests, built in 2 months on .NET Aspire and TypeScript/Vite. Live demo in two halves. First, I'll run the end-to-end publishing pipeline through CloudAuthor's agents: ideation → research → quote-finding → drafting → editing → banner creation → Japanese translation → carousel generation. Each stage is a specialized agent handing off to the next, all streaming in front of you. Then I'll switch to Visual Studio Code and show the squad of 7 specialized coding agents I actually use to build CloudAuthor itself — the agents that wrote the agents.

- Event context: AI Tinkerers Tokyo - Shinagawa: May 26th Meetup — 2026-05-26 — Tokyo
- Public talk page: https://tokyo.aitinkerers.org/talks/rsvp_CzSJETAJ9-4

### [ibaAgent: Agentic time-series analysis.](https://nurnberg.aitinkerers.org/talks/rsvp_DcXjk1ibxVU)

I developed an agentic system using LangGraph to analyze high-resolution time-series data via natural language. Since high-resolution data is too token-intensive for LLMs, the agent operates "blind" by dynamically writing and executing Python analysis scripts to process data locally. This is supported by a specialized memory architecture that allows the agent to iteratively build an internal map of undocumented, messy data stores, and a rigorous Langfuse experiment pipeline used to tune hyperparameters and prompts for predictable reasoning and precise tool use. Currently transitioning from proof-of-concept to product at iba AG, my demo will showcase LangGraph traces of the agent’s execution and its self-correction within the Python environment. I will also highlight our Langfuse evaluation workflow and how the memory layer enables the agent to navigate complex data structures over time. I’m looking to exchange ideas with fellow tinkerers specifically on memory persistence, planning strategies, and robust evaluation for agentic workflows.

- Event context: AI Tinkerers Nürnberg: April Meetup — 2026-04-22 — Nürnberg
- Public talk page: https://nurnberg.aitinkerers.org/talks/rsvp_DcXjk1ibxVU

### [From 1 Agent to 11: Patterns for Multi-Agent Systems That Actually Work](https://columbus.aitinkerers.org/talks/rsvp_nZaEJ2xzX0c)

I built an AI operating system (AIOS) that runs my technology community organization, Cloud Nirvana, using 11 specialized AI agents coordinated from a Mac Mini. Each agent owns a domain: email triage, speaker pipeline QA, partnership tracking, CRM operations, content, community engagement, financial operations, and strategic planning. They share an encrypted CRM, communicate through file-based memory, and operate under a graduated trust model where each agent earns autonomy based on demonstrated reliability. Along the way, everything broke at least once. I documented those failures as reusable engineering patterns (inspired by the Gang of Four) and open-sourced them. The demo walks through the live system, shows agents handling real work in real time, and demonstrates how any builder can discover and apply these patterns against their own codebase.

- Event context: AI Tinkerers - Columbus April Meetup — 2026-04-06 — Columbus
- Public talk page: https://columbus.aitinkerers.org/talks/rsvp_nZaEJ2xzX0c

### [Building a 32-Character Murder Mystery Game Generator](https://valencia.aitinkerers.org/talks/rsvp_JIVtHp5Lz5M)

I'll walk through building a production murder mystery generator that creates full games with 6-32 characters using Claude's API. The talk covers the real costs and constraints of AI at scale, my automation architecture using Make.com for orchestration, and the specific technical challenges I hit when generating complex JSON structures for game content. I'll show the actual webhook flows, how I handle character generation failures, and my debugging approach when Claude outputs invalid JSON that breaks the entire workflow.

- Event context: AI Tinkerers Valencia February Meetup — 2026-02-17 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_JIVtHp5Lz5M

### [GPU-Streaming Omniverse to the Browser Per‑Org Sessions over WebRTC](https://miami.aitinkerers.org/talks/rsvp_Mq1fLtz3A-E)

Live build walkthrough of a prototype that spins up an isolated NVIDIA Omniverse/Kit session per organization, then streams it into a standard web browser via WebRTC. I’ll show the end-to-end flow: request → provision Azure GPU instance → boot the Kit runtime → establish a WebRTC connection → interact in-scene → teardown/cleanup. Focus is on the state machine, orchestration, and the practical failure modes (startup latency, ICE/networking, cleanup).

- Event context: AI Tinkerers Miami Meetup — The 2026 Builder Kickoff — 2026-02-11 — Miami
- Public talk page: https://miami.aitinkerers.org/talks/rsvp_Mq1fLtz3A-E

### [Building the Future of Tech Interviews: Architecture and Challenges of Dobr.AI's Conversational Intelligence](https://bengaluru.aitinkerers.org/talks/rsvp_5JyrKLFaXGc)

A deep dive into Dobr.AI's interview engine architecture, where we'll explore how we've built a domain-expert AI that leads technical interviews rather than simply responding to prompts. We'll talk through our approach to combining capabilities of multiple models, a unique memory system and combined a specialized orchestration architecture designed to lead conversations.

- Event context: AI Tinkerers - Bengaluru - January Meetup — 2025-01-23 — Bengaluru
- Public talk page: https://bengaluru.aitinkerers.org/talks/rsvp_5JyrKLFaXGc

### [Bolna](https://bengaluru.aitinkerers.org/talks/rsvp_3yPJ5QnuWNU)

Bolna is the end to end infra to build, deploy and manage human-like voice AI agents. We provide a single API for voice conversational orchestration, taking care of human-like nuances (such as interruption handling, background noise detection etc.) to ensure high-quality low-latency conversations. Our orchestration is open-source and modular, allowing users to use open-source models for better pricing.

- Event context: AI Tinkerers - Bangalore Inaugural - RSVP REQUIRED — 2024-06-02 — Bengaluru
- Public talk page: https://bengaluru.aitinkerers.org/talks/rsvp_3yPJ5QnuWNU

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