Product AI Agent's Weekly Briefing
A weekly edition, where I dive into the latest developments sharing Generative AI and Agentic based digital products.
Hello there! Welcome to this week’s briefing! We’ll explore the latest in Generative AI and agentic development.
Over the past week, we've noticed an increase in discussions about AI in user experience design. There’s also been a rise in agentic AI for industrial use and changes in human-machine interfaces.
These themes indicate a significant shift in the industry. There's a move toward systems that are more intuitive and responsive. This shift boosts user engagement and improves operational efficiency.
Let’s explore the key developments that are shaping our landscape.
⏰ This Week’s Digest (TL;DR) ⏰
1️⃣ AI in UI/UX Design AI tools are changing user experience design. – Read on
2️⃣ New research shows how agentic AI enhances industrial processes. – Read on
3️⃣ Advances in human-machine UI make interactions natural. – Read more
4️⃣ Key discussions from product managers about AI adoption in professions.
5️⃣ Many important AI conferences will take place in 2025. – Read on
Estimated reading time: 8 minutes
👀What Caught My Eye in AI This Week 👀
A big leap in agentic AI memory just hit the news. Microsoft announced support for the Model Context Protocol (MCP), a move toward industry-wide memory standards that enable AI agents from different vendors to remember and share context seamlessly.
This is major:
🔄 Cleaner memory handoffs: No more re-explaining your workflow with every agent.
🧠 Memory becomes a first-class agent feature, not a gimmick.
🏢 Enterprise-ready collaboration: Agents can pass context across tools securely.
Why this matters.
If you’re building AI into your product, memory isn’t a nice-to-have—it’s foundational. Memory needs to be standardised, interoperable, and trustworthy.
That’s the infrastructure PMs have been missing, from building long-lasting agentic AI experiences.
📦 Lessons from Real AI Product Builds 📦
What I’ve Observed or Learned on the Front Line in the Last 7 Days
This week, I've observed product managers grappling with the complexities of AI architecture. Specifically, the challenge lies in understanding how to collaborate with solutions architects to design AI-driven systems.
I've broken down what product managers need to look for in their solution architect colleagues to navigate AI architecture confidently.
Top key skills to keep an eye out for:
Systemic Thinking: Understanding that AI architecture involves multi-layered interactions, memory, reasoning, triggers, and actions, not just linear workflows.
Technical Literacy: Grasping how different AI components (LLMs, databases, memory structures) integrate and interact with each other.
Memory Management: Memory isn’t just "storage," and understanding context persistence across multiple agent actions and interactions is crucial.
Dive into further details from best practice lessons from Templonix when trying to demystify AI architecture 👇
🔗 Top 7 Skills Needed to Become an AI Agent Architect
⚛️ Key Trends of the Last 7 Days ⚛️
1. AI in UI/UX Design
AI is transforming how designers approach user experience design. Tools like Adobe Sensei and Figma AI automate routine tasks. This lets designers focus more on creativity and user engagement.
2. Agentic AI in Industry
Recent studies have shown that agentic AI enhances complex industrial processes. Companies can use generative models for real-time monitoring and decision-making. This trend indicates a shift towards more autonomous systems in manufacturing and logistics.
3. Advancements in Human-Machine Interfaces
New research is exploring bioinspired models. These models work to decode human intent more effectively. This method might create control systems that are more adaptive and intuitive. The implications for sectors like healthcare and robotics are profound.
4. AI Conferences Ahead
Important AI conferences are set for 2025. These include the AI Conference in San Francisco and the Data + AI Summit. They are crucial for anyone wanting to stay ahead in AI.
💬 Top AI Product Conversation in the Last 7 Days 💬
1. OpenAI vs. Startup Ecosystem
Product managers express concern that OpenAI's frequent releases overshadow those of smaller AI startups. The advice? Avoid building generic "AI wrapper" products and instead target unique, complex customer needs.
2. The Role of PRDs in the LLM Era
PMs talk about how AI's quick creation of Product Requirement Documents (PRDs) could shape their future. AI makes drafting faster, but PMs stress that real value comes from the thinking behind the document.
3. Addressing "AI Slop" in Workflows
PMs warn that using AI-generated plans without human oversight can be risky. This leads to unclear goals and poor results. Always ensure human oversight when defining the core problem and success criteria.
4. The Future PM Skillset: Coding vs. Strategy
Discussion on whether PMs should leverage AI coding tools to become technical PMs. Opinions differ. This highlights the need to strike a balance between quick prototyping skills and strong product management. Doing so helps avoid technical debt.
5. Learning AI by Doing
PMs offer practical tips for gaining AI skills. They stress the importance of hands-on practice over just theory. They suggest using AI tools in real workflows. This helps you understand their value and how they work.
🛠️ Top Tools of the Last 7 Days 🛠️
1. Adobe Sensei
This AI tool improves creative work by automating repetitive tasks in design software. It has innovative editing tools and layout tips. These features significantly accelerate the design process.
2. Figma AI
Let’s designers create layouts and wireframes quickly from simple prompts. This speeds up prototyping and boosts creative exploration. This tool is handy for teams seeking to streamline their design processes.
3. Uizard
Turns text into interactive prototypes. This helps designers quickly validate their ideas. This tool is ideal for early-stage projects where speed and flexibility are crucial.
4. Framer AI
Turns text descriptions into responsive web designs. This lets designers create ready-to-use code easily. This tool is perfect for teams looking to bridge the gap between design and development.
5. Galileo AI
Creates detailed UI designs from text prompts. This reduces the time required for manual design work. This tool is a game-changer for teams aiming to enhance their design efficiency.
🧰 Ready to stop being the last one to product manage and design agentic AI experiences in your organisation?
Join the "No Spoon Survival Guide" waitlist
The exclusive guide is for product managers and designers leaping into agentic AI system design, before everyone else figures it out.
End July 2025!
🔬Academic and Research Papers of the Last 7 Days 🔬
1. Industrial Agentic AI and Generative Modelling
This paper explores how generative models can improve industrial processes. It shows their potential to boost real-time decision-making and optimise processes. The findings demonstrate that a systematic approach can facilitate the application of these models in various industrial settings.
2. Synergy-Based Brain-Machine Interfaces
This research explores the development of brain-machine interfaces. These interfaces will decode human intent using bioinspired models. The study seeks to make these interfaces more adaptable and user-friendly. This can impact both healthcare and robotics.
3. Generative AI in Consumer Product Modelling
This paper examines how generative AI creates personalised products, with a focus on the beauty industry. AI can improve product customisation and boost consumer satisfaction.
4. Real-Time Optimisation in Motorsports
This study examines the application of generative AI in motorsports. It demonstrates how real-time data analytics enables informed decision-making during races. The implications for performance enhancement are significant.
5. Biomanufacturing Process Scale with Quantum-Classical Agents
This study employs a mixed-method approach for biomanufacturing. It uses both quantum and classical agents to improve production processes. The findings suggest a new paradigm for enhancing efficiency in biomanufacturing.
📅 Upcoming Events 📅
1. AI Conference San Francisco
Set for September 17-18, 2025, this event will showcase the latest in AI. It will include keynote speakers and opportunities for networking.
2. Data + AI Summit
Happening from June 9-12, 2025, this hybrid event will cover data engineering, governance, and machine learning. It will feature workshops and panel discussions.
3. World Summit AI
This major conference will take place on October 8-9, 2025, in Amsterdam. It will feature keynote speakers and sessions on generative AI and the growth of startups. It’s a must-attend for anyone serious about AI.
That’s it for this week.
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See you next week.