# Agentic Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/agentic
> Markdown URL: https://aitinkerers.org/technologies/agentic.md
> Technology record last updated: 2026-03-10T20:38:39Z
> Generated: 2026-09-20T12:43:51Z

Autonomous AI systems that move beyond chat to execute multi-step workflows and achieve complex goals with minimal human oversight.

Agentic technology represents the shift from generative outputs to autonomous action. Unlike standard LLMs that wait for prompts, agentic systems (built on frameworks like CrewAI or LangGraph) orchestrate multiple specialized agents to solve end-to-end problems. A typical stack might involve a Researcher agent scraping 50+ sources via Firecrawl and a Writer agent drafting a report in Google Docs: all coordinated by a central reasoning engine. This paradigm is already driving a 40% increase in operational efficiency for early adopters by automating high-context tasks like insurance claims processing and software debugging. It is not just about talking: it is about doing.

- Official technology site: https://www.agentic.ai
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Agentic AI for the real world](https://seattle.aitinkerers.org/talks/rsvp_arZH6O_FQOY)

Lightning AI has created an Agentic AI platform that orchestrates and executes workflows aimed towards solving real world problems. Using this platform I created a medical transcription service that operates in native japanese and cross references with a medical lexicon to validate technical accuracy of medical terms used. This alone is a business model that supports entire companies in the wider medical IT field.

- Event context: AI Tinkerers Seattle Summer Bash — 2026-07-29 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_arZH6O_FQOY

### [How We Build Pipelines to Detect Product Issues and Fix Them with Coding Agents](https://prague.aitinkerers.org/talks/rsvp_C35CGsy9rLA)

I'll walk through how we built a pipeline that detects product issues from multiple data sources (session recordings, error logs, support tickets, LLM traces) and routes them to coding agents that generate PRs. * Step 1: Signal. Render videos from session recordings, transcribe them, and analyze, searching for issues. * Step 2: Cluster. Group signals from different sources and decide what’s worth fixing. * Step 3: Code. Preview of Twig ADE (AI Development Environment), where confirmed tasks get handed off to coding agents.

- Event context: Product Engineering: Apify x PostHog — 2026-02-26 — Prague
- Public talk page: https://prague.aitinkerers.org/talks/rsvp_C35CGsy9rLA

### [Build an optimized agentic RAG agent!](https://dc.aitinkerers.org/talks/rsvp_I2_1__GU9oQ)

We'll design, simulate, evaluate and optimize an Agentic RAG assistant—trained on your data and tuned to your preferences!

- Event context: AI Tinkerers x Trilligent: November Meetup — 2025-11-11 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_I2_1__GU9oQ

## Related Technologies

- [Agentic AI](https://aitinkerers.org/technologies/agentic-ai) ([Markdown](https://aitinkerers.org/technologies/agentic-ai.md)) — 6 public demos
- [Agentic RAG](https://aitinkerers.org/technologies/agentic-rag) ([Markdown](https://aitinkerers.org/technologies/agentic-rag.md)) — 3 public demos
- [BART](https://aitinkerers.org/technologies/bart) ([Markdown](https://aitinkerers.org/technologies/bart.md)) — 4 public demos
- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 214 public demos
- [clustering](https://aitinkerers.org/technologies/clustering) ([Markdown](https://aitinkerers.org/technologies/clustering.md)) — 3 public demos
- [Cursor](https://aitinkerers.org/technologies/cursor) ([Markdown](https://aitinkerers.org/technologies/cursor.md)) — 65 public demos
- [DPR](https://aitinkerers.org/technologies/dpr) ([Markdown](https://aitinkerers.org/technologies/dpr.md)) — 3 public demos
- [Embeddings](https://aitinkerers.org/technologies/embeddings) ([Markdown](https://aitinkerers.org/technologies/embeddings.md)) — 22 public demos
- [FAISS](https://aitinkerers.org/technologies/faiss) ([Markdown](https://aitinkerers.org/technologies/faiss.md)) — 17 public demos
- [fuctions](https://aitinkerers.org/technologies/fuctions) ([Markdown](https://aitinkerers.org/technologies/fuctions.md)) — 1 public demo
- [Gemini 3](https://aitinkerers.org/technologies/gemini-3) ([Markdown](https://aitinkerers.org/technologies/gemini-3.md)) — 8 public demos
- [GraphN](https://aitinkerers.org/technologies/graphn) ([Markdown](https://aitinkerers.org/technologies/graphn.md)) — 1 public demo
- [Haystack](https://aitinkerers.org/technologies/haystack) ([Markdown](https://aitinkerers.org/technologies/haystack.md)) — 5 public demos
- [KMeans](https://aitinkerers.org/technologies/kmeans) ([Markdown](https://aitinkerers.org/technologies/kmeans.md)) — 2 public demos
- [LangChain](https://aitinkerers.org/technologies/langchain) ([Markdown](https://aitinkerers.org/technologies/langchain.md)) — 445 public demos
- [models](https://aitinkerers.org/technologies/models) ([Markdown](https://aitinkerers.org/technologies/models.md)) — 1 public demo
- [OCR](https://aitinkerers.org/technologies/ocr) ([Markdown](https://aitinkerers.org/technologies/ocr.md)) — 10 public demos
- [Opus 4](https://aitinkerers.org/technologies/opus-4) ([Markdown](https://aitinkerers.org/technologies/opus-4.md)) — 10 public demos