Berlin Builder Circle #2: Production Agents & Real-Time Context (JOIN WAITLIST TO BE APPROVED)
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Berlin Builder Circle #2
From Context Engineering to AI Employees in the Autonomous Enterprise
Hosted at the Rasa Office, with thanks to the Rasa team for opening their doors.
🗓️ Feb 18
🕕 6:00 PM – 7:30/8:00 PM
📍 Rasa HQ, Berlin
Builder Circles are small, closed-door sessions for practitioners who are actually building real systems
This second edition brings together experienced builders working with AI agents in production, especially in environments where context is dynamic, real-time, and messy.
🧠 Theme
Context engineering with real-time data for agents in production
→ and what this means for the rise of AI employees in the autonomous enterprise
The topic has two layers:
1) Hands-on: context engineering in the real world
We’ll start grounded and practical.
This is about agents that operate beyond static knowledge and classic RAG setups — systems that need to react to changing signals, events, users, or environments.
Think:
Agents consuming live or near-real-time data
Customer-facing or internal assistants operating in production
Systems where context is continuously evolving
Trade-offs between latency, reliability, control, and autonomy
The goal is to share what we’ve actually built, what patterns are emerging, and where things fall apart in practice.
2) Zooming out: AI employees & the autonomous enterprise
Toward the end, we’ll widen the lens.
What does it mean when agents move from tools to actors inside companies?
How do organizations change when AI systems own workflows, decisions, or execution?
This part is less about predictions and more about:
Early signals we’re seeing
Organizational and technical constraints
Where current systems are clearly not enough
What “AI employees” realistically look like in the next few years
🧩 Format
Short host intro
Round-robin: everyone shares
What they’re working on
A key challenge or open question
Something they’ve built or learned
Guided discussion based on questions collected from participants
Open discussion toward the end on the future of AI employees
Everyone contributes.
No spectators.
💡 Who This Is For
This circle is for practitioners who:
Are working with agents or LLM-based systems in production
Deal with non-static, real-world data
Want to talk honestly about failures, trade-offs, and open problems
If you’re not actively building in this space, this probably isn’t the right room.
🔁 Why This Series
Meetups optimize for scale.
Workshops optimize for teaching.
Builder Circles optimize for signal.
This is part of an ongoing series ,small, focused sessions every 1–3 months, each centered on a frontier topic in ML, data, and AI systems.
If the first edition was about LLMs and confidential data, this one is about what happens when agents start acting inside real organizations.
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