AIl Hub

AllHub is an Agent as a Service platform built for ecommerce operators

[Shopify @Shopify]

the Shopify AI Toolkit is here

manage your store with your favorite agent

Claude Code, Codex, Cursor, VS Code, and more

[Deborah Folloni → 🪽epic.new @dfolloni]

Generative UI is the UX pattern used by the best AI native applications (and I am completely obsessed with it)

The difference is simple:

→ Without Generative UI: you ask something → you get a wall of text
→ With Generative UI: you ask something → you get a component

Most vibe coded apps don't use this pattern yet, because it's relatively new and isn't really in any LLM's training data.

Here's how it works 👉

[Jeff Dean @JeffDean]

As an example of how we are building on top of Gemini 3, AI Mode in Search now uses Gemini 3 to enable new generative UI experiences, all generated completely on the fly based on your query. Here’s how you might use this to learn a complex topic like how RNA polymerase works.

[Pratham @Prathkum]

Generative UI will be the next big shift in AI.

Where your product UI is dynamically generated, based on user intent and context.

If you are a developer building AI apps, you need to hear this out:

[Kyryl Truskovskyi @truskovskiy]

Generative UI is probably the most underrated release from Google. It is how the future of software will look like, not dystopian "no more engineers in X years/months/days" - but highly personalized UX experience on demand running on top of your app - which is not even an app anymore but a platform to serve multiple generated UIs for each user.

https://t.co/8bf4pArnSC

[GREG ISENBERG @gregisenberg]

there's a quiet shift happening in how we design software. we're moving from UX to AX (agentic experience).

traditional UX is screen-centric. you tap a button, product reacts, job done. every session starts from zero.

designers pre-plan every path with hard-coded flows. users fill out forms and dropdowns because the product remembers nothing about you.

success = fewer clicks and faster flows.
trust = "interface looks clean so it must work."

agentic experience is relationship-centric. the agent keeps track of ongoing goals, nudges next steps, improves over time. you're never starting over.

the system plans its own path - it senses, infers, chooses actions the designer didn't script. context is learned, not asked. preferences, patterns, even team norms are remembered.

success = earned trust and compounding value. metrics shift to retention, satisfaction with decisions, how much autonomy you hand over.

trust = the agent shows its work early, then tapers as confidence grows, like a human teammate.

most apps will eventually work this way.

your email client will learn your writing style and priorities. your design tool will remember your brand guidelines and suggest layouts. your CRM will track relationship patterns and recommend next moves.

the best products will anticipate needs, remember context, and get better with every interaction.

shoutout to @meetLCA for this visual and hit them up if you need help designing these AX experiences (they lead the charge)

we're moving from tools you use to partners you work with.

the companies building ax instead of ux will own the next decade.

users will stop tolerating dumb software that makes them repeat themselves.

once you experience true AX, traditional UX feels broken. there's no going back.

[Outlier Ventures @oviohq]

Moving from UX to AX (Agent Experience) - What that really means

@Jamie247's keynote at @EthereumDenver had a great turnout — there’s no surprise.

“We have been thinking about AI agents and the convergence of blockchain with AI for several years now.”

1/4

[AIl Hub @allhub_]

🚨 What if superhuman AI arrived in 2027?
https://t.co/2ipC80MLHS maps a concrete scenario: clumsy agents in 2025 → superintelligence by late 2027. Written by ex-OpenAI researchers whose past predictions held up.
https://t.co/WqPvrbkfa5

[Zeno Rocha @zenorocha]

For the past couple of years, I've been obsessed with DX (Developer Experience).

Now, we're entering a new era, an era in which AX (Agent Experience) is just as important.

AX doesn't replace DX, it extends it.

Here's how...

[Search Engine Land @sengineland]

The end of the web? Goodbye HTML, hello AIDI! https://t.co/YMrg4G1rif

[Charly Wargnier @DataChaz]

If you’re still sending raw JSON into your LLMs, you’re burning tokens, latency, and budget!

Try TOON (Token-Oriented Object Notation).

Clear like YAML, compact like CSV:

• 30–60% fewer tokens
• Up to 50% lower costs
• Shines for tabular data.

Free and Open source 🧵↓

[AIl Hub @allhub_]

The Rise of AI Agents: Transforming the Future of Work!

🔗 https://t.co/dGXsA53mr5

#AIAgent #AIagents #agi #ai #ArtificialIntelligence #FutureOfWork #FutureOfAI #FutureOfTech

[AIl Hub @allhub_]

AGI: The Rise of ARTIFICIAL GENERAL INTELLIGENCE

#ai #agi #ArtificialIntelligence

https://t.co/oLFln6EWOK

[Elon Musk @elonmusk]

Video of the inside of Cortex today, the giant new AI training supercluster being built at Tesla HQ in Austin to solve real-world AI

[AIl Hub @allhub_]

📚 Machine Vision Algorithms and Applications by Carsten Steger

🔗 https://t.co/SIHsXDl31x

#ComputerVision #Algorithms #MachineVision #MachineLearning

[AIl Hub @allhub_]

📚 Computer Vision: Algorithms and Applications (Texts in Computer Science) by Richard Szeliski

https://t.co/8VuUGf5ZVt

#ComputerVision #Algorithms #MachineVision #MachineLearning #Probabilistic

[AIl Hub @allhub_]

📚 Computer Vision: Algorithms and Applications by Richard Szeliski

🔗 https://t.co/D2zwmIcWAX

#ComputerVision #Algorithms #MachineVision #MachineLearning #Probabilistic

[AIl Hub @allhub_]

📚 Computer Vision: Principles, Algorithms, Applications, Learning by E. R. Davies

🔗 https://t.co/MS5uvvCOyc

#ComputerVision #Algorithms #MachineVision #MachineLearning #Probabilistic

[AIl Hub @allhub_]

📚 Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems by Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta and Harshit Surana

🔗 https://t.co/PV4jsv1DxN

#NaturalLanguageProcessing #NLP #AI #ArtificialIntelligence #MachineLearning

[AIl Hub @allhub_]

📚 Building Chatbots with Python: Using Natural Language Processing and Machine Learning by Sumit Raj

🔗 https://t.co/eNZoQ97nPl

#NaturalLanguageProcessing #NLP #AI #ArtificialIntelligence #MachineLearning