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- Google adds a way to create automated workflows to Opal
Google adds a way to create automated workflows to Opal
AND: Music generator ProducerAI joins Google Labs

✨TodayOnAI’s Daily Drop
Google adds a way to create automated workflows to Opal
Music generator ProducerAI joins Google Labs
Nvidia challenger AI chip startup MatX raised $500M
💬 Let’s Fix This Prompt
🧰 Today’s AI Toolbox Pick
| 📌 The TodayOnAI Brief |

🚀 TodayOnAI Insight: Google is expanding Opal with a new Gemini-powered agent that lets users build and run automated workflows using simple text prompts. The update pushes no-code app creation further—bringing autonomous planning, tool use, and interactive execution into the hands of non-technical users.
🔍 Key Takeaways:
Opal now includes an agent built on Gemini 3 Flash that creates mini-apps capable of planning and executing multi-step tasks.
The agent autonomously selects tools—like Google Sheets—to maintain memory across sessions (e.g., tracking shopping lists).
It’s natively interactive, prompting users for missing inputs or offering choices to guide next steps.
Designed for non-technical users, it enables complex workflow creation without writing code.
Opal has rapidly expanded since its July 2025 U.S. debut and is now available in 160+ countries, integrated into the Gemini web app.
💡 Why This Stands Out: Google isn’t just adding features—it’s embedding autonomous agency into app creation. By combining tool use, memory, and interactive reasoning, Opal moves closer to fully self-directed workflow builders. As rivals like Lovable and Replit scale similar offerings, the race is shifting from simple prompt-to-app generation to persistent, agent-driven systems.

🚀 TodayOnAI Insight: Google is bringing generative music tool ProducerAI into Google Labs, deepening its push into AI-powered creativity with DeepMind’s Lyria 3 model. The move positions AI not just as a music generator—but as a collaborative partner in the studio.
🔍 Key Takeaways:
ProducerAI, backed by The Chainsmokers, lets users generate music from natural language prompts like “make a lofi beat.”
It runs on DeepMind’s Lyria 3, which converts text and even images into structured audio outputs.
Google recently introduced Lyria 3 to Gemini, but ProducerAI emphasizes real-time creative collaboration.
Artists like Wyclef Jean have used Lyria 3 and Music AI Sandbox to refine tracks, including adding new instruments post-recording.
The expansion lands amid legal uncertainty over AI training data and ongoing backlash from major artists and publishers.
💡 Why This Stands Out: Google isn’t just embedding AI into music tools—it’s reframing the role of AI in the creative process. By integrating ProducerAI into Labs and Gemini, it signals a future where models act as co-creators, not just generators. As legal battles over training data intensify, the real question becomes: will AI reshape music production faster than the industry can regulate it?
Nvidia

🚀 TodayOnAI Insight: MatX, a chip startup founded by former Google TPU leaders, has raised a $500 million Series B to build AI processors it claims will outperform Nvidia GPUs by 10x in training and inference. The funding signals growing investor appetite for credible challengers to Nvidia’s AI dominance.
🔍 Key Takeaways:
MatX aims to design chips optimized specifically for LLM training and inference, targeting a 10x performance leap over Nvidia GPUs.
The $500M round was led by Jane Street and Situational Awareness, with backing from Marvell, Spark Capital, NFDG, and Stripe’s Patrick and John Collison.
CEO Reiner Pope previously led AI software for Google’s TPUs; co-founder Mike Gunter helped design TPU hardware.
The company plans to manufacture with TSMC and begin shipping chips in 2027.
The raise follows a $100M Series A in 2024 that reportedly valued MatX above $300M.
💡 Why This Stands Out: Capital is flowing into AI silicon at an unprecedented scale, but few teams combine deep TPU expertise with serious financial backing. MatX isn’t just building another chip—it’s positioning itself as a purpose-built LLM engine. The real question: can specialized silicon finally loosen Nvidia’s grip on AI infrastructure?
| 💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.
✅ The Improved Prompt
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown
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👉 Try PromptPilot by TodayOnAI (Free to use)
| 🧠 Smart Picks |
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🧰 Today’s AI Toolbox Pick
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💻ZipWP (Web Design Tool): Creates stunning websites in seconds.
⚙️DupDub (Content Tool): An all-in-one content creation platform that allows you to craft your content effortlessly and streamline your workflow.