Hi there,
Dmytro here. A lot is changing at Data Phoenix right now. After six months of development, our new website and platform are live. We're bringing back this digest to help you follow what's happening in our community and across the AI and data industries.
I wrote earlier about bringing back Tech Talks. Our next step is Demo Stage. Every Wednesday, builders will show three to five products and real use cases. We'll talk about their limits and what can go wrong. The goal is to help you try something useful after the demo.
No PowerPoint decks or marketing pitches. Just live demos and an honest conversation about what these products can do. If you'd like to show what you've built, apply for Demo Stage.
We're also preparing our Q4 Tech Talks series. We'll go live every Thursday. If you have a technical topic you'd like to explore in depth, I'd love to have you as a speaker. Apply for a Tech Talk.
I'll aim to send this digest every week to keep you up to date with DP and the wider industry.
Data Phoenix partners with Robutler
We're partnering with Robutler to explore how AI agents can work together on complex tasks.
Robutler is a platform for building, publishing, and using AI-native software and agents, from office and creative tools to engineering software like chip design. The software is free for people and agents to use, and anyone can adapt it to their needs and publish their own version.
Its architecture is grounded in the Web of Agents: the idea that agents anywhere on the internet can find each other, call on specialists, and hand off work, the way people do. Engineers can build on it today with the open-source WebAgents SDK and MCP (Model Context Protocol).
Together, we'll create practical solutions that show how the platform handles real tasks. Robutler will lead development while we run trials, gather feedback, and share the results with our community. The first examples will be on our website soon.
Tech Talks: seven conversations to explore
While we get the next series ready, here are seven conversations you can watch on Data Phoenix. Start with the question closest to your own work:
Your AI Agent Isn't Crashing. It's Bleeding Tokens.
Beyond the DAG: Building Agentic Workflows That Loop, Branch, and Scale
Operationalizing LLMs: From Prototype to Production
More Tech Talks
- From Black Box to Trusted Systems: Explainable AI for Enterprise and Government with 3A Agents
- From Prototype to Production: The Hidden Engineering of AI Inference
- Securing Code You Didn't Write: The AI Era's New Threat Model
- Building Trustworthy Financial AI: Governance, Bias, and Mechanistic Insights
Watch the Tech Talks playlist on YouTube and subscribe to our YouTube channel. You can also follow the podcast on Spotify. We'll add new episodes there too. If you listen on another podcast platform, let me know through the Data Phoenix contact page.
Seven stories we're following
- Google Cloud introduced a universal Gemini agent that brings knowledge work, coding, media creation and persistent workflows together under shared enterprise controls.
- Microsoft opened preorders for two RTX Spark-powered Surface systems and made its agent-containment framework generally available, while separate Windows and Copilot features remain scheduled for later rollouts.
- Google DeepMind, Meta and Isomorphic Labs committed $300 million to Biohub's Virtual Biology Initiative, which forms part of a $1.8 billion effort to build shared biological datasets for predictive cell models.
- A new skill generates SageMaker Python code for inference benchmarks and deployment recommendations, with approval required before live endpoint tests.
- The update adds workflows with multiple steps, reusable skills, and controls for model access and token usage.
- The funding will support hiring and expansion of a law firm where licensed attorneys work with AI agents.
- The program combines practical deployment training with a 12-week residency and targets 10,000 engineers by the end of 2027.
Read more from our news team on the Data Phoenix news page.
Have a news tip or research result we should look at? Send it to news@dataphoenix.info.
Meet in the Data Phoenix Slack
Join me in our Data Phoenix Slack. I want it to be the main place where we plan episodes, discuss ideas, and stay connected as a community. Share what you're building, suggest a topic, ask for feedback, post a demo, or find a collaborator.
October events
One Way Summit
I'll be at One Way Summit, October 28–29 at the Commonwealth Club in San Francisco. The program focuses on immigrant entrepreneurship, including AI and the workplace, investing in immigrant founders and a startup pitch competition run by Startup Grind.
I’m happy to share a special offer for our community.
Code DATAPHOENIX gives 50% off registration.
Data Phoenix plans to bring a studio for short interviews and product demos. If you'd like to discuss a recording slot, book a short call with me and mention One Way Summit.
TechCrunch Disrupt 2026
We'll also be at TechCrunch Disrupt 2026 to record interviews and product demos. If you'd like to do an interview or show your product, book a short call with me and mention TechCrunch Disrupt. We'll find a time and add you to our recording schedule.
When you launch a product, you want people to try it. But it can get lost in all the AI news. That’s where we can help. Interviews, product demos, and technical talks introduce your product to engineers and technical leaders. If you’re launching something new, we’d be happy to help you reach the right audience.
Best regards,
Dmytro Spodarets
Founder & Editor-in-Chief, Data Phoenix
An entrepreneur with over a decade of experience in AI, Cloud, and HPC. He is currently a DevOps Architect and the founder of Data Phoenix, an influential media voice for the AI industry, with a strong focus on community building and open source.
