# LLMs Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/llms
> Markdown URL: https://aitinkerers.org/technologies/llms.md
> Technology record last updated: 2026-02-22T16:34:54Z
> Generated: 2026-09-20T12:42:15Z

Large Language Models (LLMs) are Transformer-architecture deep learning systems (e.g., GPT-4, Llama 3) trained on massive text corpora to generate, summarize, and reason over human language at scale.

LLMs are advanced deep learning models, specifically Generative Pre-trained Transformers (GPTs), designed to process and generate human-like text. They are trained on vast, multi-trillion-token datasets, giving them billions of parameters to learn complex linguistic patterns (syntax, semantics). This scale enables emergent capabilities: few-shot learning, code generation, and complex reasoning. Key examples include OpenAI's GPT-4, Google's Gemini, and Meta's Llama 3. LLMs power applications from conversational AI (ChatGPT) to automated content creation, fundamentally shifting how machines handle unstructured language.

- Official technology site: https://en.wikipedia.org/wiki/Large_language_model
- Public AI Tinkerers demos and talks: 83
- Result page: 1 of 4

## Recent Public Talks and Demos

### [Human Centered AI: Combining Design Thinking and lean methodologies for AI based product development](https://bogota.aitinkerers.org/talks/rsvp_D0H9UIYQOq0)

A practical methodology that blends Design Thinking and Lean into the AI development lifecycle to create human-centered AI products aligned with large-scale enterprise needs.

- Event context: AI Tinkerers Bogotá - Julio 24 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_D0H9UIYQOq0

### [How We Built AI Agents That Buy Media Across 10+ Ad Platforms](https://seattle.aitinkerers.org/talks/rsvp_6LZbpmkAStQ)

Synter is an agentic AI platform that autonomously manages paid media campaigns across Google, Meta, LinkedIn, TikTok, Reddit, X, and Microsoft Ads. I'll demo the live system: how agents create campaigns, adjust bids, allocate budgets, and generate ad creatives in real time — no human clicking required. We'll look at the agent execution loop, the MCP server that lets Claude and Cursor control ad accounts directly, and the cross-channel dashboard that unifies data from all platforms.

- Event context: GTM / Growth Track - Seattle — 2026-05-27 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_6LZbpmkAStQ

### [A context graph system that allows autonomous agents to make a reliable decision](https://paris.aitinkerers.org/talks/rsvp_BhRPE_2HqtA)

In this session, Yann introduces a context graph system designed to enhance how autonomous agents reason and make decisions. By structuring information as interconnected context nodes rather than isolated inputs, this approach enables agents to maintain coherence, track dependencies, and act more reliably in complex environments. The talk will explore how context graphs bridge the gap between raw data and actionable intelligence, making agent behavior more predictable, interpretable, and robust.

- Event context: AI Builders Meetup Paris - OpenClaw (featuring 42 AI & HEC Vibe) — 2026-03-26 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_BhRPE_2HqtA

### [Self-Improving Agents with Honcho](https://nyc.aitinkerers.org/talks/rsvp_u3mcI_u6ioA)

Learn how you can use Honcho to create a stateful agent that learns and improves itself over time. Remove context window and context engineering burdens, let your OpenClaw know what it needs when it needs it.

- Event context: 🦞Demo Night: OpenClaw ft Convex — 2026-02-17 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_u3mcI_u6ioA

### [WTF is a decision plane and why are agents more reliable with one?](https://miami.aitinkerers.org/talks/rsvp_0AArO9HQ48Q)

MVC separated UI from business logic. Databases separated data from applications. But in most agent codebases, decision-making logic is scattered across prompts, tool selectors, and retry handlers - spaghetti code if/else branching hell. This talk introduces the decision plane: an architectural pattern that decouples when and why your agent acts from how. You'll see how it makes agent behavior testable, auditable, and easier to reason about.

- Event context: AI Tinkerers Miami Meetup — The 2026 Builder Kickoff — 2026-02-11 — Miami
- Public talk page: https://miami.aitinkerers.org/talks/rsvp_0AArO9HQ48Q

### [Vibe Coding in Action: Building AI Workflows at the Speed of Thought with Anti-Gravity & Gumloop](https://tiruchirappalli.aitinkerers.org/talks/rsvp_rYaChaCn6n4)

Vibe coding is a new way of building software where intent, prompts, and flow matter more than boilerplate code. In this talk, I’ll demonstrate how developers and non-developers can rapidly create real, working AI-powered automations using Anti-Gravity and Gumloop—without writing traditional backend logic. The session will include a live demo showing how to: Design AI workflows visually Convert natural language prompts into functional pipelines Chain tools, APIs, and AI models together in minutes Iterate fast by “feeling the vibe” rather than debugging syntax The goal is to show how modern builders can go from idea → prototype → working solution incredibly fast using vibe coding principles.

- Event context: AI Tinkerers Trichy: January Meetup & Live Demos — 2026-01-31 — Tiruchirappalli
- Public talk page: https://tiruchirappalli.aitinkerers.org/talks/rsvp_rYaChaCn6n4

### [Structured charting with LLMs](https://dublin.aitinkerers.org/talks/rsvp_khbV0Xbmnds)

LLMs are great for producing charts however asking for the same chart style 100 times in a row, results are guaranteed to be inconsistent. This is where Vizdantic appears a simple lightweight yet extremely useful charting import which allows for consistent branding and smart chart type routing

- Event context: AI Tinkerers Dublin Meetup — Baseline, January 26, 2026 — 2026-01-26 — Dublin
- Public talk page: https://dublin.aitinkerers.org/talks/rsvp_khbV0Xbmnds

### [How I hacked the hottest SF startup](https://poland.aitinkerers.org/talks/rsvp_LATkC2SrA1A)

The story of how I leaked Poke's system prompt and reverse engineered its architecture to know what makes it so good

- Event context: AI Tinkerers Poland #6 - Meetup in Warsaw (26th November) — 2025-11-26 — Poland
- Public talk page: https://poland.aitinkerers.org/talks/rsvp_LATkC2SrA1A

### [Exploring your use Cases with Goblin](https://nashville.aitinkerers.org/talks/rsvp_mqCxyuNhVNQ)

Utilizing my new application, goblin, we will explore comparing multiple Ai models for data driven analytics on their efficacy and effectiveness.

- Event context: AI Tinkerers Nashville – October 28th, 2025 — 2025-10-28 — Nashville
- Public talk page: https://nashville.aitinkerers.org/talks/rsvp_mqCxyuNhVNQ

### [Personalized Product Discovery with Agentic AI: Beyond Traditional Recommendation Engines](https://singapore.aitinkerers.org/talks/rsvp_TYi5dO1vY58)

E-commerce platforms have long used recommendation engines to boost sales. Yet, these systems often fall short when it comes to true personalization. This talk introduces how Agentic AI can revolutionize recommendations for mobiles, gadgets, accessories, and insurance plans—shifting from static algorithms to adaptive, goal-oriented agents. We’ll discuss how these agents combine customer intent, multi-modal data, and conversational interactions to deliver next-generation recommendations that drive engagement, increase trust, and create measurable business impact.

- Event context: AIT Singapore - AI Agents Showcase - 7th Oct 2025 — 2025-10-07 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_TYi5dO1vY58

### [CompileBench Eval: Do You Need AGI to Compile Google Chrome?](https://poland.aitinkerers.org/talks/rsvp_tebcjXQMPgk)

Most LLM coding benchmarks are becoming saturated and are skewed toward cute algorithmic puzzles. They ignore the messy realities of software work: dependency hell, weird build systems, toolchain quirks, and walls of logs. I’ll introduce CompileBench: a new eval that challenges LLMs to compile real open-source projects from scratch. Tasks range from compiling simple Linux utilities to very complex ones - compiling a big open-source project with dozens of dependencies. We stress-test models in unknown environments - can they use a toolchain from 2003 to run the build? The hardest tasks take over 30 minutes, dozens of terminal commands and require solving messy (yet realistic) problems and interacting with obscure build systems and programs. I’ll share results, revealing model differences, surprising behaviors (LLMs attempting to cheat) and internals of the eval.

- Event context: AI Tinkerers Poland #5 - Meetup in Warsaw (September) — 2025-09-18 — Poland
- Public talk page: https://poland.aitinkerers.org/talks/rsvp_tebcjXQMPgk

### [cli_engineer](https://manizales.aitinkerers.org/talks/rsvp_ON22Vh5vLuE)

El desarrollo y funcionamiento de un sistema agencial de desarrollo de software 100% automatizado.

- Event context: 🚀 ¡Sexto Encuentro de AI Tinkerers Manizales! 🤖 — 2025-08-27 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_ON22Vh5vLuE

### [Lessons Learned Building CircleCI's first production agent](https://sf.aitinkerers.org/talks/rsvp_B0cEB9hQsbM)

CTO and co-founder at CircleCI

- Event context: AI HyperEngineering: Claude/Amp Maxxing, Background Agents, CI/CD — 2025-08-22 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_B0cEB9hQsbM

### [Genesisx](https://santiago.aitinkerers.org/talks/rsvp_jpF4kKKOmas)

Presentaré el proceso completo de desarrollo de productos de inteligencia artificial que hemos implementado para diferentes clientes e industrias. La charla cubrirá desde la conceptualización hasta la implementación, mostrando casos reales de nuestro portafolio. Estructura de la presentación: Presentación - Contexto y enfoque de desarrollo Caso Studio - Herramienta de gestión de contenido Caso Explora - Plataforma de análisis exploratorio Caso Texto a SQL - Interfaz natural para consultas de datos Caso Análisis - Automatización de insights Casos de Éxito - Implementaciones específicas por cliente Cada caso incluirá el problema identificado, la solución desarrollada, las tecnologías implementadas y los resultados obtenidos.

- Event context: 🔥 AI TINKERERS – SANTIAGO / CAPÍTULO 6 — 2025-07-31 — Santiago
- Public talk page: https://santiago.aitinkerers.org/talks/rsvp_jpF4kKKOmas

### [Data Pipelines for Everyone](https://london.aitinkerers.org/talks/rsvp_yxX00gkMXAg)

We're presenting a PoC to allow any non-technical business user to explore their data, build data processing pipelines for it, and allow them to make updates with high confidence, without having to understand or touch any code.

- Event context: AI Tinkerers London Meetup - July 16th, 2025 — 2025-07-16 — London
- Public talk page: https://london.aitinkerers.org/talks/rsvp_yxX00gkMXAg

### [Build modular and scalable agents with Julep AI](https://delhi.aitinkerers.org/talks/rsvp_RJ6D7-vI4aA)

Demo of building an ai agent and taking it to production.

- Event context: AI Tinkerers - Delhi - June Meetup — 2025-06-28 — Delhi
- Public talk page: https://delhi.aitinkerers.org/talks/rsvp_RJ6D7-vI4aA

### [PitchCraft AI](https://seattle.aitinkerers.org/talks/rsvp_z-OyH0yDpgs)

A set of investment banking relevant LLM agents (research, financial modeling, Associate, VP, etc.) that work together to create a sell side pitchbook. The primary benefit is reduction of iteration cycles required to get to 1) a high quality first draft and 2) final pitchbook to be presented to potential buyers.

- Event context: AI Tinkerers Seattle – June Meetup — 2025-06-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_z-OyH0yDpgs

### [12 months of learnings in 5 minutes: Agents in Production](https://seattle.aitinkerers.org/talks/rsvp_tgpuX-C5xm0)

I'll be demoing a workflow where we use Revlo (formally Haystack) to perform live research on members in the audience.

- Event context: AI Tinkerers Seattle – June Meetup — 2025-06-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_tgpuX-C5xm0

### [Meta-Agents in the Wild: Building, Simulating & Scoring Generative Agents](https://medellin.aitinkerers.org/talks/rsvp_tbVIRPGQcsQ)

Lessons learned from building meta-agentic systems and using metrics-driven simulations to evaluate agents performance.

- Event context: AI Tinkerers Medellín #14 - Wizeline - 26 de Junio, 2025 — 2025-06-26 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_tbVIRPGQcsQ

### [Kooging while Windsurfing: Building Advanced AI Agents with Kotlin](https://dublin.aitinkerers.org/talks/rsvp_GWirmkbfRcg)

Explore a pure Kotlin-based framework for building and running AI agents. This talk will demonstrate how Koog enables seamless integration with leading Large Language Models (LLMs) from providers like Google, OpenAI, Anthropic etc. We will cover key features such as custom tool creation, intelligent history compression, persistent agent memory, showcasing how Koog facilitates the development of advanced AI agents capable of tackling real-world problems.

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

### [Inside Compar:IA — Exploring the dataset of 150K conversations & 100K preferences from a French chatbot arena](https://paris.aitinkerers.org/talks/rsvp_y_1dVOVk9nM)

At the French Ministry of Culture, we’ve built Compar:IA - a chatbot arena in the spirit of LMSYS, designed to benchmark and compare large language models in French through live user interactions. Over the past months, we’ve gathered 150,000+ lines of conversations and 100,000+ user preferences across models. This data is now publicly available on Hugging Face, and will soon be published on data.gouv.fr. In this demo, we’ll open up the hood of this dataset and see how it could be used for post-training.

- Event context: AI Tinkerers - Paris Meetup on June 26th - Google Cloud AI — 2025-06-26 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_y_1dVOVk9nM

### [CareCompanion AI using conversational AI](https://singapore.aitinkerers.org/talks/rsvp_Y8Vv8oVNXV8)

This project is designed to assist elderly individuals in managing their daily healthcare needs, particularly with remembering and adhering to complex medication schedules and vital health monitoring. At its core is a Virtual AI Caregiver, an intelligent agent that tracks whether the patient has taken all prescribed medications and recorded their vital signs on time. The caregiver maintains a comprehensive history of each patient and records all relevant health data during AI-initiated calls. Over time, this data can be used to generate insightful reports and track health trends. In addition to the caregiver, the system includes a Virtual AI Doctor. If a patient has any medical questions or concerns during a caregiver call—such as clarifications about medications or symptoms—they can request to transfer the call to the virtual doctor. The doctor then provides detailed, personalized explanations and support. The system also allows patients to initiate calls on demand to the virtual caregiver, enabling them to inquire about any aspect of their care plan whenever needed. This seamless integration of monitoring, reporting, and on-demand support offers a comprehensive solution aimed at improving healthcare outcomes and quality of life for elderly patients.

- Event context: AI Tinkerers Singapore: 8th Meetup - Antler x Sambanova - June 20th, 2025 — 2025-06-20 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_Y8Vv8oVNXV8

### [Scaling up MCP with Code Orchestration](https://sf.aitinkerers.org/talks/rsvp_obYXPnxYCdQ)

We scale up our agent with MCPs using code orchestration, output schemas, and show how it can do tasks really well.

- Event context: AI Tinkerers - Advanced MCP Showcase — 2025-06-19 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_obYXPnxYCdQ

### [How It’s Made: Architecting Planning-Based AI Systems ft. AI21 Maestro](https://nyc.aitinkerers.org/talks/rsvp_W_i_1-rEyuI)

This session walks through the architectural decisions required to build AI systems that provide enterprise-grade reliability while leveraging the full capabilities of modern language models.

- Event context: How It’s Made: Architecting Planning-Based AI Systems ft. AI21 Maestro — 2025-05-19 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_W_i_1-rEyuI

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## More Results

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