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Agentic Engineering Stack Workshops

Vol 2 · The Agentic Engineering Stack — a hands-on Organized AI workshop for builders moving beyond AI chat into real agentic systems.

Bring your laptop. Leave with a stack.

Hosted at Antler VC, Austin, TX — in-person + livestream. Presented by Organized AI · Register → https://luma.com/7ango3wp


The 7 Workshops

Seven hands-on tracks. You walk in with prompts; you walk out with a typed, data-fed, self-improving, harnessed, cost-aware, remembering, observable stack.

# Workshop You leave with
01 Planning Prompts turned into typed workers + workflow DAGs
02 Giving Agents Data Tools, MCP, APIs + retrieval feeding your workers at runtime
03 Agent Loops / RSI An eval → critique → patch self-improvement loop
04 Harness Eng The harness/factory: an orchestrator running a worker pool
05 Tokenomics A cost/latency/quality-aware router with budgets + fallback
06 2nd Brain A knowledge graph + memory your agents can query
07 Observability Token + span receipts, verified outputs, a live dashboard

Each track lives in workshops/ with its own lab guide + checkpoint.

Start here

  1. Read docs/ATTENDEE-SETUP.md — get to green in 5 minutes.
  2. Skim docs/STACK-MAP.md — the big picture.
  3. Work the tracks in order under workshops/.

Under the hood

Each workshop draws on granular build stations in modules/ (typed workers, DAGs, data + retrieval, routing, memory, orchestration, QA, telemetry, RSI, deployment, dashboard). The workshops are the event tracks; the modules are the parts they assemble.

For facilitators

See docs/FACILITATOR.md for the run-of-show (room + livestream) and docs/BUILD-PLAN.md for the phased build behind this repo.

Presentations

Deck Path
Beyond the Data Center · Local Models Field Guide presentations/local-models-field-guide/
Stop Prompting Agents, Start Designing Loops presentations/agent-loops/

Best for: Founders, Engineers, AI Operators, Designers, AI-Native PMs. Socials: @organized_ai · @jordaaanhill

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A hands-on Organized AI workshop for builders moving beyond AI chat into real agentic systems.

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