Most GenAI products fail after the demo.
Not because of modelsโbut because PM maturity stops at prompts.
Demos โ Context โ Evals โ Optimization โ Systems.
The real shift isnโt better prompts.
Itโs owning AI as infrastructure, not a feature.
Where are you today
Big projects fail quietly when teams align on what to build, but not why.
At Zalando, we use PRFAQs to align executives early.
I wrote a blog breaking it down with a real example:
https://t.co/8DpEXayBAs
#productmanagement#Amazon#AI
Atlassianโs acquisition of ๐ง๐ต๐ฒ ๐๐ฟ๐ผ๐๐๐ฒ๐ฟ ๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ is more than an ๐ &๐ ๐ต๐ฒ๐ฎ๐ฑ๐น๐ถ๐ป๐ฒ, itโs a signal. Browsers are evolving from ๐ฝ๐ฎ๐๐๐ถ๐๐ฒ ๐จ๐๐ ๐ถ๐ป๐๐ผ ๐๐-๐ป๐ฎ๐๐ถ๐๐ฒ ๐ฎ๐ด๐ฒ๐ป๐๐ that orchestrate work across apps, turning tab-wrangling into outcome-driven autopilot.
That means ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐ ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐ ๐บ๐๐๐ ๐ฝ๐ถ๐๐ผ๐ ๐ณ๐ฟ๐ผ๐บ ๐ฏ๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐ฏ๐ฒ๐๐๐ฒ๐ฟ ๐๐ผ๐ผ๐น๐ ๐๐ผ ๐ฑ๐ฒ๐๐ถ๐ด๐ป๐ถ๐ป๐ด ๐๐ฟ๐๐๐๐๐ผ๐ฟ๐๐ต๐, ๐ฒ๐ป๐๐ฒ๐ฟ๐ฝ๐ฟ๐ถ๐๐ฒ-๐ด๐ฟ๐ฎ๐ฑ๐ฒ ๐ฎ๐ด๐ฒ๐ป๐๐ that orchestrate workflows.
It also marks a shift from thinking purely in the user experience (UX) paradigm to the agent experience (AgX) paradigm, where agents, not humans, are the primary actors.
https://t.co/rZJp9fK2TI
๐ While building my latest AI Agent, I learned some important lessons about moving from prototype to production:
1๏ธโฃ Frameworks like LangChain or CrewAI are great for prototyping โ they let you quickly chain tools, APIs, and models.
But for real-world, production-grade agents, these frameworks can become limiting due to overhead, debugging complexity, and lack of fine-grained control.
2๏ธโฃ MCP (Model Context Protocol) is powerful when working with existing AI-native tools like Cursor or Claude Code.
However, if youโre building your own agent from scratch, going with raw, custom-built actions and direct integrations often leads to better performance and maintainability.
3๏ธโฃ Memory doesnโt have to be complex at the start โ even a simple JSON file storing context can work.
As your agent grows and handles more data, you can scale up to databases or RAG (Retrieval-Augmented Generation) for richer, context-aware responses.
๐ก The key takeaway:
Prototype fast with frameworks, but donโt be afraid to strip things down and build custom when you move to production. Start simple, then scale.
๐จ Just published: How AI Is Reshaping the Job Market, And How You Can Prepare:
โ Layoffs, automation risks, & the rise of "unautomatable" skills
โ How tools like @UnautomatedXYZ help future-proof your career
Read it here ๐ https://t.co/GwJxR7mJuc
#AI #FutureOfWork #Automation #Careers #layoff
๐จ Just published: How AI Is Reshaping the Job Market, And How You Can Prepare:
โ Layoffs, automation risks, & the rise of "unautomatable" skills
โ How tools like @UnautomatedXYZ help future-proof your career
Read it here ๐ https://t.co/GwJxR7mJuc
#AI #FutureOfWork #Automation #Careers
Unpopular opinion: 'Building in Public' has become more about marketing personal brands than shipping products. Are we celebrating transparency or just performative content? Does it actually help you build faster? #BuildInPublic#IndieHackers#Startup
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Building https://t.co/dNR2OCAQb3 to help pros master AI! Sharing our latest learnings: SLM+LLM combinations slash costs. Langchain for rapid proto, but custom logic wins for production. Join our #BuildInPublic journey! Discover more: https://t.co/dNR2OCAQb3 #IndieHackers#Startup
Building https://t.co/BT9GcEpw33 to help professionals thrive in the AI-powered future! We're openly sharing our progress & learnings on this journey. Join our #BuildInPublic adventure and let's empower your skills together. Explore more: https://t.co/BT9GcEpw33 #IndieHackers #Startup
What an incredible week it's been! So much energy and progress. Feeling grateful for this community and all the exciting things happening. What's one positive thing you're celebrating today? Share below! ๐ #GoodVibes#CommunityLove#WeeklyUpdate
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