Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
Vibe Presenting: Agentic Slides
This talk covers building an application that uses agentic logic on LangGraph and sandboxed code to streamline creating high-quality presentations efficiently.
When I was creating business presentations, I often felt frustrated that I could develop things very quickly using vibe coding, but producing a truly high-quality presentation was still a very manual process.
While apps like Gamma exist, they’re mostly designed around generating at most decent presentations in seconds. For me, the goal isn’t necessarily to minimize the time spent creating presentations, but rather to maximize their quality within a given time budget.
So I started vibe coding presentations as simple frontend apps with layour like presentation. I’ve also spotted other people on my team doing the same. It’s cool to do manually, but there is some config, setup, dumping etc. problems. So I started coding app which does it for you. And now it seems pretty useful :D
- LangChainThe open-source framework for building and deploying reliable, data-aware Large Language Model (LLM) applications.LangChain is the essential framework for engineering LLM-powered applications: it simplifies connecting models (like GPT-4 or Claude) to external data, computation, and APIs. The platform provides a modular set of components—Chains, Agents, Tools, and Memory—allowing developers to quickly build complex workflows like Retrieval-Augmented Generation (RAG) pipelines and sophisticated conversational agents. Its Python and JavaScript libraries, combined with LangChain Expression Language (LCEL), offer a standardized interface for rapid prototyping and moving applications to production with confidence.
- LangGraphA low-level orchestration framework for building long-running, stateful, and cyclic multi-agent systems using a graph-based architecture.LangGraph is the specialized, low-level runtime for developing complex AI agents, extending the LangChain ecosystem to handle intricate, stateful workflows. It models the agent's logic as a directed graph: nodes represent actions (LLM calls, tool use), and conditional edges dictate the flow, enabling critical features like cycles (loops) for iterative reasoning. This graph-based approach ensures durable execution, allowing agents to persist through failures and resume operations. Key capabilities include comprehensive memory management via a shared state object and built-in human-in-the-loop functionality (interrupts) for external oversight. This robust framework is trusted by production teams at companies like Klarna and Replit for deploying scalable, resilient agent architectures.
- Cloudflare WorkersDeploy serverless code instantly on Cloudflare's global network, executing with zero cold starts via V8 isolates for ultra-low latency.Cloudflare Workers is your serverless compute platform: run JavaScript, TypeScript, or WebAssembly directly on Cloudflare's global edge network. Leveraging the V8 engine and its isolate architecture ensures near-instant startup (zero cold starts), delivering ultra-low latency to users in over 330 cities. Use Workers to deploy fast edge logic—from custom API gateways and request routing to modifying responses and running AI inference—without managing a single server.
- PythonPython: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .
- NextNext.js is the full-stack React framework: it delivers high-performance web applications via hybrid rendering and powerful, Rust-based tooling.This is the React Framework for production: Next.js enables you to build full-stack web applications with zero configuration and maximum efficiency. It supports a hybrid rendering approach (Server-Side Rendering, Static Site Generation, and Incremental Static Regeneration) for optimal speed and SEO performance. Key features include React Server Components, Server Actions for running server code directly, and the App Router for advanced routing and nested layouts. Developed by Vercel, it leverages Rust-based tools like Turbopack and the Speedy Web Compiler for the fastest possible builds and a superior developer experience.
Related projects
Sales techniques training in voice conversations with AI personas
Poland
Learn a lightweight, production‑proven technique—LLM Whispering—to inject runtime instructions into LLMs, guiding conversation flow with minimal latency and…
How SuperLango Turns Any Conversation Into a Personalized Vocabulary Learning Engine
Poland
See a live demo of SuperLango's core loop: speech ingestion, phrase extraction, graph matching, vocabulary expansion, and personalized…
Building an AI Product Manager
Poland
Live demo of PostHog's AI Product Manager followed by an analysis of the technical failures that occur when…
Unleash Your voice Unleash Your Agents
Poland
The talk demonstrates a locally run AI system that provides real‑time speech transcription, lets you control applications, and…
Claude Don't Code
Poland
Demonstration of using Claude Code as a terminal assistant for tasks like certificate renewal, CSV analysis, Docker debugging,…
Open Mercato - AI based ERP / CRM build 100% with AI
Poland
See a live demo of Open Mercato, an open-source ERP/CRM, demonstrating AI-assisted engineering to quickly build new features…