AIMUG - Austin LangChain

Welcome to the AI Middleware Users Group - Austin, a group "Learning in the Open" using Langchain, and LangGraph to explore the AI Ecosystem

[AIMUG - Austin LangChain @AustinLangChain]

Great AI communities don’t appear by accident. Builders create them.

AIMUG Builders Ep.7 features Juan Iturbe and Andy Caballero on the rise of AIMUG Panama and the story behind Ketzai, an AI platform helping teachers and students in Panama.

Watch now: https://t.co/MpqQ1uLEbh

[AIMUG - Austin LangChain @AustinLangChain]

New Builders: Vaskin Kissoyan (@VaskinK ) on diffusion models, Skills, and AI orchestration with LangChain/LangGraph—plus what it really takes to ship agents in production.

Watch now ▶ https://t.co/ZICg8P5d2D

Join Discord in bio

#AIMUG

[Aakash Gupta @aakashgupta]

Sequoia just called the end of an entire go-to-market era and most SaaS companies won’t realize what hit them for 18 months.

Product-led growth was built on one assumption: humans would try the software. The entire playbook since 2010 optimized for human discovery. Beautiful landing pages. Frictionless free trials. Viral invite loops. Slack, Dropbox, Zoom, Calendly. $200B+ in market cap created by winning the user’s first 5 minutes.

None of that matters if an agent is picking the software.

Claude doesn’t care about your hero image. It can’t be impressed by your Dribbble awards. It’s reading documentation, parsing user reviews, checking API reliability, and matching features to use case. All the surface-level polish that convinced lazy humans to click “sign up” becomes irrelevant.

The new PLG funnel isn’t landing page → free trial → activation → conversion.
It’s agent query → documentation scan → feature match → recommendation.

Which means the new moat looks completely different. You don’t need the best onboarding. You need the best documentation. You don’t need viral loops. You need structured data that agents can parse. You don’t need a beautiful UI for the first session. You need an API that an agent can actually call.

The companies that won PLG hired designers and growth hackers. The companies that win agent-led growth will hire technical writers and developer relations engineers.

And here’s the part nobody’s pricing in yet: agents don’t have loyalty. They don’t have switching costs. They’ll recommend Supabase today and something better tomorrow if the documentation is cleaner or the pricing is more transparent. The stickiness that made PLG so powerful, the network effects and learned behavior, doesn’t transfer.

Sequoia is telling you the entire distribution layer is being rewritten. The question is whether your product is optimized for human attention or machine parsing. Most are built for the wrong audience.

[AIMUG - Austin LangChain @AustinLangChain]

New Builders: Ricky Pirruccio (@ricky_pirr) on AI × consciousness and real dev workflows.

From bootcamp to Python, ChatGPT/Claude at Applied Materials, and “AI Mission Command.”

Distributed intelligence, agents, human–AI collab.

Watch now ▶ https://t.co/uCoo2xqqZ5

[AIMUG - Austin LangChain @AustinLangChain]

🕯️ In Memoriam: The Tools We Loved, Then Replaced
AIMUG built with a lot of AI tools over the last couple years… and some of them didn’t make it. 😅

Watch: https://t.co/5RyeA8kCL9
Drop your nominations for the next ceremony 👇

[AIMUG - Austin LangChain @AustinLangChain]

Network automation meets AI.

In Builders Ep.4, Ryan Booth breaks down RAG, agent-to-agent (A2A), context engineering, and “warming up” agents for coding.

Playbooks for enterprise teams.

Watch now ▶ https://t.co/LLCN7QIqMi | Join Discord via link in bio
#AIMUG

[AIMUG - Austin LangChain @AustinLangChain]

3/ Practical demos:

Subagents speed code review & delivery

Claude Code + MCP = less dev friction

Smart site rebuilds, powered fully by AI

4/ Want to learn from real deployments, not empty hype?
Check the episode 👉 https://t.co/9E7FG2KJXe

[AIMUG - Austin LangChain @AustinLangChain]

1/ AIMUG Builders Ep.3 is live!
Sal Castoro covers real-world #AgenticAI in production: web scraping, context > prompts, subagents for code review & an Astro site rebuilt via AI.

[AIMUG - Austin LangChain @AustinLangChain]

2/ Why care?
LangChain & LangGraph agents are powering automation at scale.
See how context engineering goes further than prompts alone.

[AIMUG - Austin LangChain @AustinLangChain]

Devs: want faster, safer delivery with agents?

In Builders Ep.3, Sal Castoro shows LangChain/LangGraph in the wild—agentic scraping, sub-agents, Claude Code, MCP, and SEO for AI content.

Real workflows, zero hype.

Watch now ▶ https://t.co/yhzXDccHqD | Join via bio
#AIMUG

[AIMUG - Austin LangChain @AustinLangChain]

Watch Ryan's full demo:
https://t.co/nEhI965hqq
Read the analysis:
https://t.co/A0aUI5sdSe
Join us:
https://t.co/BV8Z9oFTN6
Build the future 🤖

[AIMUG - Austin LangChain @AustinLangChain]

The future of AI is agent marketplaces.
Ryan Booth's A2A/AP2 demo shows how agents discover, negotiate & transact autonomously.
This changes everything about digital commerce 🧵👇
https://t.co/nEhI965PfY

[AIMUG - Austin LangChain @AustinLangChain]

The AEO playbook:
Clear capability schemas
Rich metadata
Agent-readable docs
Quality signals
Optimize for queries
First movers win.