# OpenAI Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/openai
> Markdown URL: https://aitinkerers.org/technologies/openai.md
> Technology record last updated: 2026-09-18T15:14:01Z
> Generated: 2026-09-20T21:48:53Z

OpenAI is an AI research and deployment company: We build safe artificial general intelligence (AGI) to benefit all of humanity.

OpenAI is a premier AI research and deployment company, focused on developing safe Artificial General Intelligence (AGI) for global benefit. The organization operates under a unique structure: a non-profit Foundation governs a for-profit Group, which functions as a public benefit corporation. Its technology portfolio includes industry-defining models like the GPT series (e.g., GPT-4o, GPT-5.1), the conversational platform ChatGPT, and the text-to-video model Sora. These tools drive innovation across multiple sectors, providing powerful, accessible AI capabilities for developers, businesses, and consumers worldwide.

- Official technology site: https://openai.com
- Public AI Tinkerers demos and talks: 112
- Result page: 1 of 5

## Recent Public Talks and Demos

### [From Meow to Mastery: Building MathCat’s Adaptive Learning Platform](https://hong-kong.aitinkerers.org/talks/rsvp_nk7cD0uzBpI)

MathCat.fun is an adaptive, bilingual math and science practice platform for Hong Kong primary school children, aligned to the EDB curriculum and playable as a Progressive Web App. For this demo, I’ll walk through the full stack, not just the game UI. Live, I’ll briefly show the working app (different play modes, leaderboard, rewards shop, etc); but will focus more on the backend: (1) the question-generation and validation workflow – the balance between deterministic and probabilistic models to achieve the best outcome and my learnings; (2) talk about the AI critic pipeline (Gemini + GPT-5) that scores each question template on Cantonese naturalness, HK school terminology, hint quality, and age fit (3) the adaptive progression architecture—mastery gates, recent-accuracy windows, skill unlocks, etc; (4) the overall architecture.

- Event context: AI Tinkerers Hong Kong: August Meetup with OAX Foundation and GMAsia — 2026-08-31 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_nk7cD0uzBpI

### [Pre-Consultation Done with AI - Challenges in Healthcare AI](https://islamabad-rawalpindi.aitinkerers.org/talks/rsvp_DWlIRWr1pN4)

I built a voice AI that calls patients before their doctor's appointment, it asks about their symptoms and history, the stuff a nurse would normally cover over the phone. This was built under NDA, so I can't show the actual product. What I'll walk you through instead is an anonymized version covering the full flow: how patients are handled, what the pre-consultation conversation looks like, the guardrails I had to implement, and how HL7 secure messaging routes the summary to the clinic's Patient Management System. I'll keep everything end-to-end while staying within what the NDA allows.

- Event context: AI Tinkerers Islamabad - August 15, 2026 — 2026-08-15 — Islamabad Rawalpindi
- Public talk page: https://islamabad-rawalpindi.aitinkerers.org/talks/rsvp_DWlIRWr1pN4

### [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

### [stress-testing autonomous research agents](https://zurich.aitinkerers.org/talks/rsvp_N7RI28XXj20)

I built a minimal autoresearch loop for coding agents, and I test the agent-environment behaviour during standard and broken evaluations. I will show how the system is structured as a research sandbox. I will walk through the live workflow, and I will show when and how the different evals I tested changed the agent-environment behaviour.

- Event context: AI Tinkerers Zürich: July Build Night with Swisscom Ventures — 2026-07-01 — Zürich
- Public talk page: https://zurich.aitinkerers.org/talks/rsvp_N7RI28XXj20

### [Enhancing AI Agents with Durability](https://boston.aitinkerers.org/talks/rsvp_feJAeO6zZ-M)

We’ve combined AI agents with Durable Execution techniques to create agents that are durable and observable. The result is a pattern that can be used to continue execution in the event of outages, conserve LLM calls, record past run history, catch rare production failures and reproduce them in house. I’ll demo using a basic research agent and show what the code looks like.

- Event context: AI Tinkerers Boston: GTM Agentic AI Launch — 2026-06-29 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_feJAeO6zZ-M

### [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

### [From AI Prospect Memos to a Scored Warm-Intro Queue](https://poland.aitinkerers.org/talks/rsvp_k0DCDscxWlA)

I built a dogfood workflow on top of graph.one that connects AI-assisted company qualification to a relationship-graph work queue. I'm the founder of graph.one, but this demo is about the internals of the build, not a product pitch. It starts in Prospector: a Node CLI pipeline that creates frozen public-source packets, runs AI-generated prospect memos, validates structured outputs, and stores decisions in append-only JSONL ledgers. The handoff is a qualified-company record. Intro Queue then takes a relationship-graph org-path export with organization identity, relationship owner, optional connector, target person/role, and strength fields. It caches the export in SQLite, collapses duplicate and noisy paths into scored route options, groups selected routes by connector, tracks per-company outcomes, and surfaces fallback routes as a human action queue. In the demo I'll follow one fully synthetic target company from source packet to memo to graph path row to scored route option to failed route/fallback. The queue output is a person-centric ask docket for a human operator; there is no send pipeline. I'll use fully synthetic graph data and redacted schema/log excerpts only.

- Event context: AI Tinkerers Warsaw: GTM Engineering Track — 2026-06-24 — Poland
- Public talk page: https://poland.aitinkerers.org/talks/rsvp_k0DCDscxWlA

### [Personal computing 2.0](https://berlin.aitinkerers.org/talks/rsvp_ges6dwxOxkk)

Rho is a minimal from scratch implementation of OpenClaw that can build UI on the fly. In addition to being a personal assistant, it is an ai-managed personal runtime where your agent can build and reshape small apps around your own data. You can ask your computer for the exact interface you want to interact with it. Rho is inspired by the Pi coding agent and indeed builds on top of it. As with Pi, it is open-source and intentionally minimal but built for extensibility. For the demo, I'll work through a basic example of building a simple To-Do app from within the Rho mobile app. Rho comes with an in-built chat (in addition to the standard WhatsApp, Telegram etc channels) where you can ask it to edit itself. Next, I'll also show how you can share you apps as simple pi-extension like open source repos. You can point your rho agent to a existing extension on GitHub and ask it to install it for you.

- Event context: AI Tinkerers Berlin - June 17, 2026 — 2026-06-17 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_ges6dwxOxkk

### [CTRL+F for your stuff : Building a scalable, resilient and secure multi-modal vision search solution](https://raleigh.aitinkerers.org/talks/rsvp_S9zghJZIZWE)

WhichBox is a web app that lets you photograph your storage boxes and uses Vision AI to build a searchable inventory, so you can ask "where is my phone charger?" and get a ranked, confidence-scored answer. In this demo, I'll walk through three technical problems I had to solve while building this solution.

- Event context: AI Tinkerers Raleigh Meetup — May 6, 2026 — 2026-05-06 — Raleigh
- Public talk page: https://raleigh.aitinkerers.org/talks/rsvp_S9zghJZIZWE

### [Six steps to make your agent smarter using small local models.](https://columbus.aitinkerers.org/talks/rsvp_3wl4rNO70ks)

Yeah, I built out a six-step process on a Mac Mini by which all agent turns are recorded, judged, scored, and then used as training material to take a qwin 2.5B model and make it as good as OpenAI 5.4.

- Event context: AI Tinkerers - Columbus May Meetup — 2026-05-04 — Columbus
- Public talk page: https://columbus.aitinkerers.org/talks/rsvp_3wl4rNO70ks

### [Using Voice AI To Extract Subject Matter Expertise](https://seattle.aitinkerers.org/talks/rsvp_TRQ3V4xNF4A)

An AI Voice Interviewing Platform that calls the user's phone and interviews them in real-time.

- Event context: AI Tinkerers Seattle: GTM Engineering — April Meetup — 2026-04-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_TRQ3V4xNF4A

### [New AI visibility tool made 99% with vibe coding](https://valencia.aitinkerers.org/talks/rsvp_UStdYlRZtOI)

I built Crecerank, a tool designed to boost your brand’s visibility across the AI landscape. Crecerank is a brand monitoring platform that helps you understand the "why" behind every AI recommendation. We analyze exactly why an AI (like ChatGPT) chooses your competitor over you and identify the specific variables driving that decision. By focusing on the Latin American market and using human-behavior simulations, we deliver real, transparent data. With 64% of people now using AI to guide their buying decisions, the cost of being invisible is too high.

- Event context: AI Tinkerers Valencia April Meetup — 2026-04-21 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_UStdYlRZtOI

### [From Cold Email to Trusted Conversation: How AI Agents Turn Outreach into Revenue](https://seattle.aitinkerers.org/talks/rsvp_Z5K4dyJQ7rE)

This talk covers the architecture of an AI-driven outbound system designed to create highly personalized B2B outreach at scale. I will walk through the design of two agent systems — IRIS, a hyper-personalized email generation engine, and Hermes, a social-channel warming system that leverages the psychological mere exposure effect to increase response rates. IRIS uses Firecrawl to extract structured information from target company websites, Perplexity for real-time research enrichment, and an LLM pipeline that synthesizes this context into personalized outreach messages rendered through React Email templates. The result is emails that read as if they were written by a human founder after researching the company. Hermes operates as a GUI-driven agent that manages warm-up sequences on social platforms, creating lightweight touchpoints before direct outreach. Together, these agents form a two-channel system designed to increase outbound effectiveness in trust-sensitive industries like healthcare. I will walk through the system architecture, data flow, and agent orchestration, including how contextual data is collected, synthesized, and translated into human-like messaging. I will also share early performance results showing how research-driven outreach can significantly outperform traditional cold email strategies.

- Event context: AI Tinkerers Seattle: GTM Track — March — 2026-03-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_Z5K4dyJQ7rE

### [Spatial Intelligence for Sustainable Design](https://denver-boulder.aitinkerers.org/talks/rsvp_DtvytQ2NOCs)

I built a water wise planning tool that water companies can offer to their customers to guide them through creating an accurate landscape plan and plant list and be connected to local installers and rebate opportunities

- Event context: AI Tinkerers Denver Meetup - March 25, 2026 — 2026-03-25 — Denver
- Public talk page: https://denver-boulder.aitinkerers.org/talks/rsvp_DtvytQ2NOCs

### [The Layer Between You and the Model](https://nashville.aitinkerers.org/talks/rsvp_vfOwHHG2DJ4)

When you send a message to an LLM, what happens before the model sees it? Something has to load context, decide what tools are available, shape what the model can and can't do. That's the harness. Everyone building agents has one, most people just don't call it that. This is a code walkthrough of a harness I've been building. I'll show what's actually in that layer: context loading, command constraints, persona switching, conversation branching. Not polished or a product pitch. Just the guts of what sits between me and the model. If you've been building something similar and didn't know the name for it, find me afterwards.

- Event context: AI Tinkerers Nashville – Software Development in the Age of AI — 2026-03-25 — Nashville
- Public talk page: https://nashville.aitinkerers.org/talks/rsvp_vfOwHHG2DJ4

### [Building an AI WhatsApp guide for the Valencia Fallas festival](https://valencia.aitinkerers.org/talks/rsvp_73Oz6MkCmvU)

I built an AI-powered WhatsApp assistant that acts as a digital guide for the Valencia Fallas festival. Visitors can ask about the main Fallas monuments and receive explanations about their meaning, satire, and artistic concept. For the most important Fallas, the assistant also delivers pre-recorded audio explanations in Spanish and Valencian, allowing visitors to experience them as if they were using an audio guide. The project demonstrates how conversational AI can turn a messaging app into an accessible cultural guide for large public events without requiring users to install a dedicated app.

- Event context: AI Tinkerers Valencia March Meetup — 2026-03-17 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_73Oz6MkCmvU

### [Building a Live Digital Ecosystem Intelligence Layer (DEIP.app)](https://valencia.aitinkerers.org/talks/rsvp_0XSNT1ucZeg)

Most companies don’t actually know how their digital ecosystem works - they just use tools. In this demo, I’ll show how I’m building DEIP.app - a live intelligence layer that maps tools, costs, dependencies, data flows, and AI agents into a structured system that both humans and AI can understand. I’ll walk through: - The data model (how tools, services, AI, Workflows, people, and costs are structured) - How I built the hierarchy (categories → subcategories → items → relations) - How cost calculations work - How I connect it to AI agents via MCP/APIs - How relations are visualized (1D lists → 2D maps → 3D/VR maps) - How does this becomes usable context for AI systems

- Event context: AI Tinkerers Valencia March Meetup — 2026-03-17 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_0XSNT1ucZeg

### [Budget by Chatting: Building a multi-channel AI-powered expense tracker](https://upstate-ny.aitinkerers.org/talks/rsvp_tB4HZsZid7I)

SetForMoney is a household budgeting web app. Users text "groceries 45 Sams Club" to Telegram, WhatsApp, SMS, or a web chat and an LLM model parses the amount, matches the category, and detects intent from raw natural language. Three things worth looking at under the hood: 1. The prompt architecture that handles expenses, questions, commands, and gibberish from a single parsing call, with fuzzy category matching that recovers from typos. 2. Channel-aware response formatting: same AI brain, different output constraints (SMS under 300 chars vs. rich web formatting). 3. Silent feature request detection: the chat assistant answers users normally while flagging unmet feature requests behind the scenes, then a nightly job clusters them into a demand-ranked product roadmap. Live production demo.

- Event context: AI Tinkerers Upstate NY: March Meetup — 2026-03-10 — Upstate NY
- Public talk page: https://upstate-ny.aitinkerers.org/talks/rsvp_tB4HZsZid7I

### [I Fed My Instagram Archive to OpenClaw and Now It Knows I Love Tiramisu](https://london.aitinkerers.org/talks/rsvp_YLrCjhGArgM)

The obvious way to personalise OpenClaw — give it access to your accounts — trades convenience for a privacy mess. So instead: download your data export, run it through an open-source pipeine, and give OpenClaw the result. We'll walk through each stage live — the raw archive, the prompts that distill thousands of posts into dated first-person memories, the generated profile, and what happens when you ask OpenClaw to "book a restaurant for me" with all of that loaded.

- Event context: OpenClaw Demo Night // 5th March — 2026-03-05 — London
- Public talk page: https://london.aitinkerers.org/talks/rsvp_YLrCjhGArgM

### [Finance Agent Evals - How to implement evals to a financial agents using A2A protocol](https://bogota.aitinkerers.org/talks/rsvp_5aCGjZcNjqA)

I’ll be presenting the project developed during the 'Papers' program, where we built an Analyst-Judge agent system via A2A. We will see how the Judge system initiates an evaluation scenario and engages the Financial Analyst agent. This agent asynchronously answers questions using different reasoning models, passing the results back to the Judge to compare the responses across all questions and models.

- Event context: AI Tinkerers Bogotá: El Primer Meetup de 2026 — 2026-02-26 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_5aCGjZcNjqA

### [Using AI to make the science behind Kabuki Syndrome more accessible](https://boston.aitinkerers.org/talks/rsvp_JYH_omkmLYc)

Kabuki Syndrome is a rare disease affecting 1 in 32,000 births. There is currently no cure, but there is a fair clip of research being conducted and published every month. As a parent of a child with Kabuki, I have long struggled to read and comprehend the dense, jargon-filled academic papers that report on this research, despite my great curiosity. Due to the rarity of the condition, there is little to no journalistic reporting on these kinds of academic papers. I will share a project I'm working on that is intended to bridge that gap with AI, using the latest LLMs to craft stories more accessible to the broader Kabuki community. In the demo I will show how I use AI to break down the papers into their individual claims, then how I transform those claims, using multiple prompts and workflows, into easy-to-read plain english versions. These plain-english versions live in a UI that has two goals. One is to be polished and reader-friendly, up to the standard of a national magazine, with subheaders, pull quotes, etc. Another is to provide an inline interactive lens onto the original text of the article, with individual sentences that can morph to show the claims and sentences in the original paper they are based on.

- Event context: {Cancelled due to Blizzard Warning } AI Tinkerers Boston: February 2026 Meetup — 2026-02-23 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_JYH_omkmLYc

### [AI safety in healthcare](https://vienna.aitinkerers.org/talks/rsvp_jm2eqpK8Vtk)

AI by itself is currently not good enough to be used without extensive supervision in the professional/production environment of a lot of industry, especially law enforcement or healthcare. Because of that, I would talk about how I design a more safe and deterministic AI system for industries that require a high level of complexity, accuracy, and certainty. I would walk through one of the project related to my award-wining research at AI in health conference of Ken Kennedy Institute of Rice University where I evaluate AI system for safety, before implementing solutions to mitigate those limitations. This include closely evaluating accuracy and saftey of AI outputs with feedback loop and "AI-as-a-judge", LLM jailbreaking, and careful prompt engineering

- Event context: AI Tinkerers Vienna: 2026 — 2026-02-19 — Vienna
- Public talk page: https://vienna.aitinkerers.org/talks/rsvp_jm2eqpK8Vtk

### [Vibe Hacking for the Era of Vibe Coding](https://vienna.aitinkerers.org/talks/rsvp_5_VdmWW2Oqs)

The talk tackles how I became a blackhat hacker criminal to becoming an employed ethical hacker to becoming an AI Hacker founder that tries to make "vibe hacking" a thing just like how vibe coding is.

- Event context: AI Tinkerers Vienna: 2026 — 2026-02-19 — Vienna
- Public talk page: https://vienna.aitinkerers.org/talks/rsvp_5_VdmWW2Oqs

### [Teaching an AI to Text: Turning Natural Language Into Chat Actions](https://chicago.aitinkerers.org/talks/rsvp_XrA7jcPfzYI)

This demo explores how AI can improve the texting experience by letting users send messages using natural language instead of UI steps. I’ll present SmartChat, a real-time chat experiment where users can type commands like “Send Aron I’ll be late” and have the system infer the recipient, message, and intent. The focus is on how the AI layer was designed: parsing ambiguous text, matching recipients from partial names, confirming intent, handling mistakes, and keeping the interaction fast enough for real-time chat. I’ll walk through how LLMs were integrated into a mobile messaging flow, how failures are handled, and what design patterns worked (and didn’t) when AI becomes part of the text input itself.

- Event context: AI Tinkerers Chicago: February Meetup ft. DubClub — 2026-02-17 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_XrA7jcPfzYI

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## More Results

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