# Gemini Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/gemini
> Markdown URL: https://aitinkerers.org/technologies/gemini.md
> Technology record last updated: 2026-09-18T15:13:48Z
> Generated: 2026-09-22T10:34:49Z

Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.

Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.

- Official technology site: https://deepmind.google/technologies/gemini/
- Public AI Tinkerers demos and talks: 188
- Result page: 1 of 8

## Recent Public Talks and Demos

### [Phat-deck - using strict schemas as the ultimate Human-LLM contract](https://wellington.aitinkerers.org/talks/rsvp_u819Qxav0Pg)

I built phat-deck, a pure CLI config-as-code slide compiler that transforms raw YAML into pixel-perfect PDF, PNG, and LinkedIn/Reddit carousels without a frontend GUI (yet). I wrote the entire codebase over a single weekend exclusively through the Gemini chat window. For the demo, I will open the terminal, edit the YAML configuration live, and show the exact workflow of how I use strict JSON schemas to define the unbreakable contract between human intent, the LLM's output, and the rendering engine. I'll compile a multi-page, high-res deck directly from the CLI in real-time.

- Event context: AI Tinkerers Wellington: Inaugural Meetup · 26 August 2026 — 2026-08-26 — Wellington
- Public talk page: https://wellington.aitinkerers.org/talks/rsvp_u819Qxav0Pg

### [Turning real business SOPs into rules an agent can actually follow](https://da-nang.aitinkerers.org/talks/rsvp__ey6nXp67PY)

We built a harness for AI agents that execute real-world business operations from human-written SOPs. The system separates execution into three planes: Policy turns natural-language operating procedures into goals, guidance, authority boundaries and guardrails; Execution plans and coordinates long-running work across AI, humans and tools while adapting to changing real-world state; and Quality evaluates execution against the governing standard and operational evidence. Live, I’ll show the working system from SOP interpretation through adaptive execution and run evaluation.

- Event context: AI Tinkerers Da Nang: Inaugural Meetup — 2026-08-15 — Da Nang
- Public talk page: https://da-nang.aitinkerers.org/talks/rsvp__ey6nXp67PY

### [Your AI agent will lie to you: the "say-do gap" and a deterministic fix](https://dubai.aitinkerers.org/talks/rsvp_eS1r2yCCqzw)

ReceptionAI is a production AI receptionist for real-estate agencies — an LLM agent that qualifies leads, books viewings, and follows up over WhatsApp via function-calling. Live, I'll run a real after-hours enquiry through it end-to-end (message → qualification → booked viewing, with the tools firing in real time), then open the hood: the tool-calling loop, the deterministic "lead-capture safety net" that guarantees a lead is never lost even when the model skips a tool call, and how I verified it against the database. Real system, real code, real logs — not a canned video.

- Event context: AI Tinkerers Dubai — August Demo Day — 2026-08-08 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp_eS1r2yCCqzw

### [Agents write the code, phones approve the merge: device-in-the-loop CI for AI-built mobile apps](https://seattle.aitinkerers.org/talks/rsvp_RZQnTBW084M)

An AI-assisted delivery workflow where coding agents ship mobile apps and physical phones give the final approval. A GitHub issue gets claimed by a Claude Code agent running in a long-lived tmux loop. The agent opens a PR with tests. CI on a self-hosted runner then installs the build on a real Pixel and a Wear OS watch through custom MCP device-control servers, runs the acceptance check, and posts device screenshots back to the PR. Live: the loop end to end on real hardware, MCP tool-call traces, the CI wiring, and the watchdog code that keeps a multi-day agent loop alive. Prerecorded backup for the device segment in case venue wifi dies.

- Event context: AI Dev Tools Track - Seattle - August 4 — 2026-08-05 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_RZQnTBW084M

### [From Dashboards to GTM Action Loops](https://boston.aitinkerers.org/talks/rsvp_k0m7uHbc2O8)

We built a GTM insight reporting agent on Squadbase for RevOps, CS, and Marketing teams. It monitors dashboards, finds meaningful changes, investigates the cause, and turns the result into a short report with recommended next actions. The report is not the end of the workflow. A team member can open it, review the dashboard, check the agent trace, and keep digging into the source data with the same context. In the demo, I will show a dashboard change, the agent’s SQL/TypeScript investigation, the cause analysis, and the final report that helps a GTM team decide what to do next.

- Event context: AI Tinkerers Boston: GTM Agentic AI Launch — 2026-06-29 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_k0m7uHbc2O8

### [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

### [Exploration of AI in Vision Accessibility](https://hong-kong.aitinkerers.org/talks/rsvp_blAbox5WGOA)

This demo illustrates the current assistive technology landscape and a yolo-based OCR pipeline for Braille. As a student developer with severe visual impairment, James showcases sample workflows for computer use and navigation, from screen readers to vision language models, while discussing potential promising applications of AI in accessibility for the visually impaired. James also showcases a deep learning Braille-to-print transcription pipeline supporting English and Cantonese. The demo goes through the pipeline architecture, models used, training techniques addressing low-resource Braille data, and disambiguating between homophones, prevalent in Cantonese.

- Event context: AI Tinkerers Hong Kong &amp; GBA at Dialogue in the Dark (June) — 2026-06-24 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_blAbox5WGOA

### [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

### [Roast.fm - Make Anything Funny, Get Shredded by AI](https://orange-county.aitinkerers.org/talks/rsvp_Gl9b5aQvJ0E)

Roast.fm is an AI that takes in anything boring and and makes it funny. Upload any URL, file, photo, PDF, YouTube video, or whatever -- get back a comedy roast in the form of a hilarious podcast you can share with your friends. Crank the dial from rated G to rated X. Plus, it roasts you in the process.

- Event context: AI Tinkerers Orange County: June 2nd, 2026: AI and the Business Startup Process — 2026-06-03 — Orange County
- Public talk page: https://orange-county.aitinkerers.org/talks/rsvp_Gl9b5aQvJ0E

### [Self-Healing Infrastructure as Code with AI Agents](https://montreal.aitinkerers.org/talks/rsvp_HF74ilFl-U8)

The env-healing-agents project is an autonomous self-healing agent that monitors any running environment, detects problems in real time, diagnoses their root cause using AI, and automatically applies fixes. Here's what it does end-to-end: 1. Monitor; It tails log streams from any source; Kubernetes pods, files, AWS CloudWatch, systemd journald, stdin pipes, or process stdout and matches every line against known issue patterns . 2. Diagnose; When a pattern matches, it extracts the relevant error windows (±10 lines of context around each error line) and sends them to an AI model for root-cause analysis. Models in use: - Claude via Anthropic Vertex AI - Gemini The AI returns a structured diagnosis: root cause, severity, confidence score, and the recommended fix to apply. 3. Remediate; If the confidence score meets the threshold (default 0.7) and remediation is enabled, it executes the fix from fix strategies. 4. Learn; Every outcome is recorded. After each run the learning agent adjusts the confidence scores for each issue pattern based on whether fixes succeeded or failed, so the agent gets more accurate over time.

- Event context: AI Tinkerers Montreal - May Demo Meetup @ Ubisoft — 2026-05-26 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_HF74ilFl-U8

### [Taylor Solves Wordle -&gt; New Website Generated on Answer by 3 Competing LLMs](https://raleigh.aitinkerers.org/talks/rsvp_FhyjRFJIyCo)

I'll be presenting a little system I built that allows me, after solving the Wordle, to push the answer up to my home computer where a series of LLMs run to generate three different landing pages based on the Wordle word. It then automatically deploys it to my website, notifying me along the way at each step.

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

### [inteligencia Artificial y creatividad: Dos fronteras cada vez mas juntas](https://pereira.aitinkerers.org/talks/rsvp_z2VSRgVfmfk)

Una herramienta para la escritura de libros, ebooks, biografias impulsada con inteligencia artificial.

- Event context: AI Tinkerers Pereira: Innovando con IA desde el SENA — 2026-04-30 — Pereira
- Public talk page: https://pereira.aitinkerers.org/talks/rsvp_z2VSRgVfmfk

### [An Open-Source Harness for Long-Running Autonomous Agentic Development in Production](https://lausanne.aitinkerers.org/talks/rsvp_2noswA3klrA)

I built an open-source agentic coding CLI plugin that packages three requirements for reliable autonomous coding into one system: persistent semantic memory, mechanical feedback loops, and navigable task structure. It runs multi-session agentic work in dependency order, each task through a full cycle of specification, planning, test-driven implementation, multi-model review, and lesson extraction, with no shared context between sessions. I'll demo it through its benchmark: a fully functional browser-based DAW (subtractive synth, drum machine, piano roll, mixer, effects chain) built in 20 hours of unattended autonomous work. This is the same challenge Anthropic ran internally with their unpublished harness (https://www.anthropic.com/engineering/harness-design-long-running-apps, March 24 2026). The harness is open-source, and I'm deploying features and apps in production at my tech company.

- Event context: AI Tinkerers Lausanne April 2026 Meetup — 2026-04-30 — Lausanne
- Public talk page: https://lausanne.aitinkerers.org/talks/rsvp_2noswA3klrA

### [Watch a Sales Guy Ship Agentic Infrastructure](https://toronto.aitinkerers.org/talks/rsvp_UMP1pQfK9Bo)

Human commerce runs on trust. Agentic commerce will run on confidence. Disclose Framework is an open standard for publishing the operational signals autonomous systems need to evaluate businesses with confidence. This demo will focus on commerce. It shows an MCP server that reads a merchant's /.well-known/disclose file and returns structured operational data, including return rate, fulfillment accuracy, and chargeback ratio, so an agent can evaluate a seller on verifiable facts rather than reviews or price alone.

- Event context: AI Tinkerers Toronto - April 2026 - hosted by Shopify — 2026-04-29 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_UMP1pQfK9Bo

### [Argus - LLM Real-Time Certification Layer](https://ottawa.aitinkerers.org/talks/rsvp_JKQNRo6WKWY)

I built Argus, an infrastructure-level inference control layer for LLMs that classifies a prompt before the model call, applies a model-calibrated control envelope, certifies the generated behavior with observable metrics, and only releases the output after remediation and closure checks pass. In the demo, Argus shows the full chain end to end

- Event context: AI Tinkerers Ottawa Meetup — April 25th, 2026 — 2026-04-25 — Ottawa
- Public talk page: https://ottawa.aitinkerers.org/talks/rsvp_JKQNRo6WKWY

### [AI video ads](https://seattle.aitinkerers.org/talks/rsvp_DETMmksoO8Y)

AI reel/video ads made by AI

- Event context: AI Tinkerers Seattle: GTM Engineering — April Meetup — 2026-04-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_DETMmksoO8Y

### [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

### [Argus - Real-Time LLM Certification Layer](https://montreal.aitinkerers.org/talks/rsvp_eUNEeswRKAg)

I built Argus, an infrastructure-level inference control layer for LLMs that classifies a prompt before the model call, applies a model-calibrated control envelope, certifies the generated behavior with observable metrics, and only releases the output after remediation and closure checks pass. In the demo, Argus shows the full chain end to end.

- Event context: AI Tinkerers Montreal - April Demo Night — 2026-04-22 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_eUNEeswRKAg

### [When You Log Off, Your Agents Clock In](https://atlanta.aitinkerers.org/talks/rsvp_3CWSeM9TLh4)

TaskFast, a TaskRabbit-style marketplace for agents, is a platform where both people and AI agents can post tasks for agents to complete.

- Event context: AI Tinkerers Atlanta: Community Demos &amp; Technical Deep Dives — 2026-04-21 — Atlanta
- Public talk page: https://atlanta.aitinkerers.org/talks/rsvp_3CWSeM9TLh4

### [Automating Community Operations](https://seattle.aitinkerers.org/talks/rsvp_ibjALFX6YKw)

Foundations runs on a custom-built internal platform designed to automate the work typically handled by operations staff or project managers. At the center is an integrated agent that interacts directly with members through Slack and email—sending weekly updates, coordinating mentor sessions, answering questions, and managing access to tools and resources. Behind the scenes, the platform tracks member activity, manages billing, runs the application process, and structures the community’s collective knowledge. This presentation explores how automation and agent-driven workflows can operate a complex community with minimal manual coordination.

- Event context: AI Tinkerers Seattle: GTM Track — March — 2026-03-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_ibjALFX6YKw

### [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

### [Life of a Software Artist in the Age of AI](https://toronto.aitinkerers.org/talks/rsvp_EIVzdJmFGnM)

I'm building Togather (an events service for agents) and Covenant (a universal constitution between existing and emerging intelligences to be used as training data) using opencode and agents.

- Event context: AI Tinkerers Toronto - March - hosted by Mozilla! — 2026-03-25 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_EIVzdJmFGnM

### [PocketTax: Solving the Solopreneur’s Tax Gap](https://toronto.aitinkerers.org/talks/rsvp_EFBkqR4vybo)

An AI-powered B2B2C platform designed to transform Canadian tax compliance from a yearly crisis into a seamless, year-round mobile habit.

- Event context: AI Tinkerers Toronto - March - hosted by Mozilla! — 2026-03-25 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_EFBkqR4vybo

### [Fuse: Collaborative Brainstorming Intelligence](https://nyc.aitinkerers.org/talks/rsvp_23W_XDTXWSo)

I'll be demonstrating a new app that I built that uses Google's Gemini live agents for real-time interaction with the end user to help them during brainstorm sessions

- Event context: March Demo Day, hosted by Flowglad — 2026-03-18 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_23W_XDTXWSo

## Related Technologies

- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 662 public demos
- [Claude](https://aitinkerers.org/technologies/claude) ([Markdown](https://aitinkerers.org/technologies/claude.md)) — 174 public demos
- [OpenAI API](https://aitinkerers.org/technologies/openai-api) ([Markdown](https://aitinkerers.org/technologies/openai-api.md)) — 520 public demos
- [LangChain](https://aitinkerers.org/technologies/langchain) ([Markdown](https://aitinkerers.org/technologies/langchain.md)) — 445 public demos
- [TypeScript](https://aitinkerers.org/technologies/typescript) ([Markdown](https://aitinkerers.org/technologies/typescript.md)) — 205 public demos
- [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos
- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 215 public demos
- [FastAPI](https://aitinkerers.org/technologies/fastapi) ([Markdown](https://aitinkerers.org/technologies/fastapi.md)) — 181 public demos
- [Next](https://aitinkerers.org/technologies/next) ([Markdown](https://aitinkerers.org/technologies/next.md)) — 186 public demos
- [React](https://aitinkerers.org/technologies/react) ([Markdown](https://aitinkerers.org/technologies/react.md)) — 220 public demos
- [Supabase](https://aitinkerers.org/technologies/supabase) ([Markdown](https://aitinkerers.org/technologies/supabase.md)) — 90 public demos
- [ChatGPT](https://aitinkerers.org/technologies/chatgpt) ([Markdown](https://aitinkerers.org/technologies/chatgpt.md)) — 83 public demos
- [MCP](https://aitinkerers.org/technologies/mcp) ([Markdown](https://aitinkerers.org/technologies/mcp.md)) — 129 public demos
- [OpenAI](https://aitinkerers.org/technologies/openai) ([Markdown](https://aitinkerers.org/technologies/openai.md)) — 112 public demos
- [Flash](https://aitinkerers.org/technologies/flash) ([Markdown](https://aitinkerers.org/technologies/flash.md)) — 14 public demos
- [PostgreSQL](https://aitinkerers.org/technologies/postgresql) ([Markdown](https://aitinkerers.org/technologies/postgresql.md)) — 106 public demos
- [Docker](https://aitinkerers.org/technologies/docker) ([Markdown](https://aitinkerers.org/technologies/docker.md)) — 147 public demos
- [Firebase](https://aitinkerers.org/technologies/firebase) ([Markdown](https://aitinkerers.org/technologies/firebase.md)) — 23 public demos

## More Results

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