# Claude Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/claude
> Markdown URL: https://aitinkerers.org/technologies/claude.md
> Technology record last updated: 2026-09-18T15:14:01Z
> Generated: 2026-09-22T08:51:22Z

Claude is Anthropic's flagship family of large language models (LLMs): a high-performance, Constitutional AI system built for safety, complex reasoning, and expert-level collaboration.

Claude is a next-generation AI assistant developed by Anthropic, a research firm prioritizing AI safety. The models (including Opus, Sonnet, and Haiku) leverage Constitutional AI to ensure helpful, honest, and harmless outputs, a key differentiator from competitors. Claude excels at complex enterprise tasks: processing massive context windows for in-depth data analysis, generating and reviewing code, and providing expert-level summarization for documents up to 200,000 tokens. It is deployed as a conversational chatbot and via API, offering scalable AI solutions for developers and businesses.

- Official technology site: https://claude.ai/
- Public AI Tinkerers demos and talks: 174
- Result page: 1 of 8

## Recent Public Talks and Demos

### [Spatial Agent Orchestration](https://copenhagen.aitinkerers.org/talks/rsvp_iof_FjJI4JE)

Use augmented reality to orchestrate coding agents.

- Event context: September Demo Night — 2026-09-16 — Copenhagen
- Public talk page: https://copenhagen.aitinkerers.org/talks/rsvp_iof_FjJI4JE

### [Run your autonomous business like crowd control at music festivals](https://durango.aitinkerers.org/talks/rsvp_l-EjDuk3piI)

Using Paperclip primitives for cases, pipelines, agents and remote runtimes I have (re?)built most of my dark factory for product building, and merge + rollout. Instead of letting the agents roam the field free, I established items (merch, food, beer) and crowd control (lines, queues) along with workers to help merch get signed, food finished properly and cold beers poured. Unlike the music festival, I also established high fidelity "more than just text" agents/visualizations to better observe and collaborate with the system.

- Event context: AI Tinkerers Durango — September Lunch Builder Meetup — 2026-09-15 — Durango
- Public talk page: https://durango.aitinkerers.org/talks/rsvp_l-EjDuk3piI

### [Referral systems are a GTM engineering problem](https://valencia.aitinkerers.org/talks/rsvp_cbEjaJjaKHg)

Seven referral mechanisms run against 40 real companies — Airbnb, Monzo, Dropbox, Tesla — every number from filings, eng blogs or peer review. Then the four things AI actually changes: who to ask, when, with which words, and how to pay. Closes with a live case study: wiring all seven into insider.works.

- Event context: GTM Teardown September — AI Tinkerers Valencia — 2026-09-08 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_cbEjaJjaKHg

### [Selling AI Agents With AI Agents](https://boston.aitinkerers.org/talks/rsvp_CoVeIXBfmhM)

I'm a solo founder building around a day job, so the constraint is hours, not ideas. I built an outbound GTM engine that runs on a Mac Mini at my desk and runs the pipeline while I'm at work: weekly lead sourcing and qualification against a narrow ICP, personalized first-touch outreach, revival sequences for dead leads, cadenced follow-up for warm leads, and a Slack command center that flags replies, requests approvals, and tees up the sales calls worth taking. It also learns from its own results: every reply, every silence, and every booked call feeds back into which signals get sourced next and how the next round of outreach is written, one variable at a time. The engine doesn't care what it's selling. Swap the ICP and the signals and the rest holds. My first test case was an AI quoting agent for screen printing shops, where the ICP was owner-operated shops with an automatic press and an existing quote form. The same design rule runs through all of it: an LLM reads the messy inputs, deterministic rules make every decision that has to be right, and a human takes the calls that matter.

- Event context: Back from Summer: AI GTM Builders — 2026-09-03 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_CoVeIXBfmhM

### [Create Your Own DeepSeek Moment](https://nyc.aitinkerers.org/talks/rsvp_UswbXaI7O_0)

I built an autonomous loop that tests and proves small models (finetuned in some cases) can replace large ones on real traffic before safely rerouting to them. Live I'll show the decision engine choosing which work to optimize, fine-tuning candidate models, clustering traffic to anonymize data, and if time allows examples of a small model beating a large one on specialized work, an eval that fails and keeps the large model live, and the prove-gate thresholds that make it production-safe.

- Event context: August Demo Day ft Runpod, Veris, Openrouter, — 2026-08-19 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_UswbXaI7O_0

### [Built a Browser Game With a Team of AI Agents, and Here's Everything That Broke](https://dubai.aitinkerers.org/talks/rsvp_ykDyOGchyI8)

The Crawl is a cel shaded isometric action RPG that runs entirely in the browser, a fan game of Dungeon Crawler Carl, and I built almost all of it by orchestrating a small team of AI coding agents rather than writing the code myself. In the demo I'll play the opening live, a motion comic cold open that hands off straight into in engine gameplay, then pull back the curtain on how it was actually made. I'll show the running game, the GitHub repo, the local content pipeline that turns concept art into rigged 3D characters, the handoff files the agents used to coordinate, and the git history that quietly acted as the message bus between them. It is a real working system, not a mockup, and most of the interesting parts are the places where it went wrong first.

- Event context: AI Tinkerers Dubai — August Demo Day — 2026-08-08 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp_ykDyOGchyI8

### [My Coworkers Are Agents: Running a GTM Consultancy Where Slack-Native AI Workers Build, Monitor, and Self-Heal Client Automations](https://seattle.aitinkerers.org/talks/rsvp_VkekCRBY8TQ)

I built a team of AI "employees" — GTM Engineering agents — that run go-to-market operations for real clients at my consultancy, Tarka. Each agent lives in Slack (one channel per client), and end-to-end it builds, operates, monitors, and auto-recovers the client's GTM stack: prospecting in Deepline → CRM in Attio/Clarify → outbound email in Instantly → LinkedIn outreach via allman.sh, all orchestrated through n8n workflows. You message the agent in Slack like a coworker — "pipeline for this ICP is dry" — and it ships the automation, watches it run, and fixes it when a step breaks. Live, I'll show: (1) an agent taking a Slack request and standing up / repairing an n8n workflow across the GTM tools; (2) the architecture of the platform underneath it (ergoly) — how each agent is an isolated worker bound to a single client; and (3) the monitoring + auto-recovery loop that lets these agents run unattended. I'll pull up the real system: the Slack control plane, the worker sandboxes, and the four-tier memory + credential-injection design that keeps every client's data and secrets separate.

- Event context: GTMxAI Engineering July - Seattle Tech Week — 2026-07-30 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_VkekCRBY8TQ

### [What if loops are the problem?](https://nyc.aitinkerers.org/talks/rsvp_UEhibnXmrYg)

Loopbreaker is a public, local-first MCP server and visual SQLite review graph extracted from a deeper review-and-shipping system embedded in my application, Rordi. I built the original system after an AI code review reached thirteen passes and continued discovering new reasons not to ship. Loopbreaker isolates the reusable mechanism: an issue has a frozen set of enforced behaviors, evidence is attached to those behaviors, and review is limited to one comprehensive pass, one repair-verification pass, and—only when necessary—one shipping-decision pass. I’ll demo the working system live: clone the public repo, start its local MCP server, connect an AI coding agent, load a synthetic version of the thirteen-pass incident, and inspect the review graph. I’ll show the agent querying the acceptance surface, recording exact test evidence, completing a repair pass, and stopping automatically—while the visual interface separately explains whether the issue is actually ready to ship.

- Event context: NYC Summer Social: Rooftop Oyster Demo Day (two years of Tinkering in NYC) — 2026-07-29 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_UEhibnXmrYg

### [Watch 1 hour highly techincal YouTubes in 5 minutes with AI!](https://seattle.aitinkerers.org/talks/rsvp_cjwx88z4AkE)

AG is an agent that watches YouTube podcasts for you so you know which ones to really dig into. With AG, see in 5 minutes a summary of the YouTube, key quotes, see key blackboard / slide / code sections, jump around key passages, and decide if you should spend the full time on the video. Break down highly techincal episodes from Dwarkesh, Lenny, AI Engineer, and more!

- Event context: AI Tinkerers Seattle Summer Bash — 2026-07-29 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_cjwx88z4AkE

### [Seattle Transit Live](https://seattle.aitinkerers.org/talks/rsvp_S4bciKwtLpU)

I built a circuit board map with 383 color LEDs that shows live Seattle area transit data. While the end result isn't an AI project, I made extensive use of agents in development. From learning about DC circuits to design, scripting, hardware debugging and BOM optimization. The boards are colorful and great conversation starters. This would be a fun opportunity to discuss the build process with interested folks.

- Event context: AI Tinkerers Seattle Summer Bash — 2026-07-29 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_S4bciKwtLpU

### [AI Boost - a context sharing system](https://valencia.aitinkerers.org/talks/rsvp_Zd-yr9DNsxM)

AI Boost is a context sharing MCP that allows repeatedly used context to be easily searched for and added to the LLM

- Event context: AI Tinkerers Valencia July Demo Night — 2026-07-28 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_Zd-yr9DNsxM

### [Meetings, Market Signals, and Messy Data: Building an AI Intelligence Platform](https://orange-county.aitinkerers.org/talks/rsvp_-wH-ikAKux0)

An AI-powered internal platform that ingests data from Zoom transcripts, internal knowledge bases, and external market signals, processes it through Claude AI, and stores the enriched intelligence in SingleStore — so we can proactively manage client relationships instead of reacting to them.

- Event context: AI Tinkerers Orange County: Tuesday, July 21, 2026 at Centercode — 2026-07-22 — Orange County
- Public talk page: https://orange-county.aitinkerers.org/talks/rsvp_-wH-ikAKux0

### [AI for Electronics](https://seattle.aitinkerers.org/talks/rsvp_FQXXd6NroIw)

I built a physical circuit board and had it manufactured. I used AI at every stage of the design, from component selection and board layout through firmware and cloud software, and post-manufacture debugging.

- Event context: AI Dev Tools Track - Seattle - July 13 — 2026-07-14 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_FQXXd6NroIw

### [Live fixing an agent defect](https://paris.aitinkerers.org/talks/rsvp_V8gBM8cPPv4)

Ashley is my personal assistant for the AI Tinkerers community. Today she unsubscribed our Paris organizer, Abdoulaye, from ten different things! She should definitely not have done that! This will be a nice thing to show the community since I'm here with Abdoulaye in Paris now.

- Event context: Offstage w/ Docker feat ClickHouse — 2026-07-07 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_V8gBM8cPPv4

### [Researching agent memory](https://columbus.aitinkerers.org/talks/rsvp_9_U1zLJVobc)

What started as a conversation to understand agent memory frameworks turned into a directory website and a fully autonomous self learning researcher and reporter.

- Event context: AI Tinkerers - Columbus July Meetup — 2026-07-06 — Columbus
- Public talk page: https://columbus.aitinkerers.org/talks/rsvp_9_U1zLJVobc

### [Building Emotional Intelligence for AI](https://cairo.aitinkerers.org/talks/rsvp_EHAXdxhFkPo)

we have built the first emotional intelligence engine for AI, to help AI, understand and interact with humans, we have trained ai with emotional intelligence to preform better interacting with humans, this is not just for AI, it's built for wellness, robotics, gaming, IOT

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

### [Building a production GTM agent: what broke and how we fixed it](https://boston.aitinkerers.org/talks/rsvp_KyMpqyZSw7M)

We built a GTM agent that runs outbound end-to-end. The agent finds prospects in your ICP, comments on their LinkedIn posts, sends connection requests and messages, and books meetings for you. I can share how the agent works and walk through the architecture, including things like: - how we decide which parts of the workflow should be handled by an agent versus deterministic code - how we store structured state in Postgres so the agent can keep track of prior actions and workflow progress - how we built human-in-the-loop review so users can approve actions before the agent proceeds - how the workflow pauses and resumes across long-running tasks I can also show a few examples of where the system initially broke and what we changed to make it more reliable in production.

- Event context: AI Tinkerers Boston: GTM Agentic AI Launch — 2026-06-29 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_KyMpqyZSw7M

### [AI Writes the Code. Who Cleans Up the Mess?](https://sf.aitinkerers.org/talks/rsvp_WjUo0pvA_j0)

I built an autonomous agent that diagnoses repositories for tech debt and raises prioritized fixes automatically. Shipped as an installable skill on Rovo Dev CLI: Atlassian's AI-powered developer tooling. It's now adopted across 5 engineering teams in my org. For the demo: I'll run the agent live against a repository, walk through diagnostic output across 18 signal categories, and raise a real PR on stage: end to end in under 5 minutes.

- Event context: AI Tinkerers San Francisco: Offensive Security Demo Night — 2026-06-26 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_WjUo0pvA_j0

### [Harness e Inferência: O que são, o que comem e como gerenciá-los](https://saopaulo.aitinkerers.org/talks/rsvp_h90U6SZeMDc)

Have you ever said "Good Morning to your AI?", Kimchi address the problem that you don't need to have the best model to answer you a simple Good Morning. Kimchi is an Open-source tool that allows you to manage the Harness, it gives you the control of all the aspects , since which is the best/cost efficiency model to execute every task.

- Event context: AI Tinkerers SP - Meetup de Junho — 2026-06-25 — São Paulo
- Public talk page: https://saopaulo.aitinkerers.org/talks/rsvp_h90U6SZeMDc

### [Optimizing your GTM on Reddit](https://poland.aitinkerers.org/talks/rsvp_VJ8vliaz1GQ)

Clustering algorithm that finds your topics on X and then creates strategies on Reddit using distinct voices supported by AI memory

- Event context: AI Tinkerers Warsaw: GTM Engineering Track — 2026-06-24 — Poland
- Public talk page: https://poland.aitinkerers.org/talks/rsvp_VJ8vliaz1GQ

### [Three Models, One Ledger: A Live Multi-Model Witness Protocol over MCP](https://austin.aitinkerers.org/talks/rsvp_NEzGU02MWI8)

A three-model witness protocol: to verify a piece of AI-assisted work, the same proof is sent to Claude, GPT, and Gemini independently over MCP, and it only seals into an append-only ledger when they agree. Live, I'll fire a witness request from my phone, show all three models attest in real time, and watch the record seal into the vault — the payloads, the disagreement handling, and the actual database row. No slides.

- Event context: AI Tinkerers Austin x PostHog Demo Night — 2026-06-18 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_NEzGU02MWI8

### [Using AI for AppDev](https://prague.aitinkerers.org/talks/rsvp_UKbVFjothGU)

Using AI at scale for enterprise to generate maintainable code :)

- Event context: AI Tinkerers Prague June Meetup — 2026-06-12 — Prague
- Public talk page: https://prague.aitinkerers.org/talks/rsvp_UKbVFjothGU

### [Orquestração multi-agente em n8n: sub-workflows virando tools dinâmicas](https://curitiba.aitinkerers.org/talks/rsvp_F61Msr-AenQ)

Construí um sistema multi-agente que opera o assistente de WhatsApp de uma marca brasileira de suplementos "clean label" com catálogo de 20+ SKUs em 8 categorias (sono, estética, emagrecimento, imunidade, saúde feminina 40+, entre outros) e dois canais ativos de WhatsApp para quiosque físico e delivery. O problema real: volume de perguntas simultâneas sobre produtos específicos (composição, indicação, contraindicação, disponibilidade), mix de intenções radicalmente diferentes: consumidora final comprando pela primeira vez, cliente em recompra, nutricionista prescrevendo e a necessidade de escalar atendimento sem perder o tom consultivo que a marca construiu. Em vez de LangGraph ou CrewAI, usei n8n como orquestrador e Claude como motor de decisão. Mensagens chegam via Evolution API num webhook do n8n; o Claude classifica a intenção (tool use) e roteia para a tool certa; mas cada "tool" é um sub-workflow n8n separado, chamado via Execute Workflow. Cada sub-workflow tem seu próprio prompt, seu próprio acesso ao Supabase (RAG sobre o catálogo completo com pgvector, histórico de pedidos, perfil do cliente) e seu próprio guard-rail. Quando a confiança do Claude cai especialmente em perguntas clínicas sobre contraindicações, o agente passa para humano via Chatwoot. Tudo self-hosted na Hetzner (Docker Swarm + Traefik). Na demo ao vivo mostro: uma mensagem real chegando no WhatsApp, o painel do n8n executando nó a nó, o sub-workflow correto ativando como tool, e os logs no Supabase. Compartilho o padrão "sub-workflow-as-tool" e o JSON exportado.

- Event context: AI Tinkerers Curitiba: Evento Inaugural — 2026-06-10 — Curitiba
- Public talk page: https://curitiba.aitinkerers.org/talks/rsvp_F61Msr-AenQ

### [Vibe-Coded Plug-Ins](https://columbus.aitinkerers.org/talks/rsvp_6qoJy3Zx-eM)

I’ll live-demo a prompt-generated dashboard plug-in system: a user asks for a custom dashboard tile, the backend generates a vue component plus a typed props schema, live props are resolved through an agent with tenant-scoped tools, and the browser renders the result inside a sandboxed iframe

- Event context: AI Tinkerers - Columbus June Meetup — 2026-06-01 — Columbus
- Public talk page: https://columbus.aitinkerers.org/talks/rsvp_6qoJy3Zx-eM

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## More Results

- Next: https://aitinkerers.org/technologies/claude.md?page=2