last week, I shared an update on everything Inr has shipped over the last 20 months in automation, CRM, and integrations.

today I am doing a final update on the bigger shift coming this Saturday 25th: Inr is now an AI-first platform, and here's what that actually means.

Yesterday, Meta announced that they have released a new collection of AI models, Llama 4, in its Llama family.

(It consists of Llama 4 Scout, Llama 4 Maverick, and Llama 4 Behemoth.)

Historically, Open AI with its ChatGPT has been on the market for the longest period.

In a discussion forum with @monatruong_murror , we talked about how AI can help us learn things that aren t naturally familiar to us, like programming.

The biggest challenge was/is:
Getting AI to guide you toward a solution, instead of just giving you the answer.

AI dev tools are evolving crazy fast , every few weeks there s a new must-try for vibe coders.

Some people are building full products with @ChatGPT by OpenAI and @Replit , others swear by @Cursor and @Claude by Anthropic , and a few are mixing @Lovable + @v0 by Vercel + @bolt.new to ship apps in record time.

I ve been refining my own vibe stack lately, trying to find that sweet spot between speed, control, and creativity.
It made me wonder ,what does your setup look like right now?

We just shipped multi-provider support in @Mnexium AI so you can change LLMs without resetting conversations, user context or memories.

The problem

When teams switch providers, they usually lose everything:

The AI researchers at Andon Labs, the people who gave Anthropic Claude an office vending machine to run, and hilarity ensued, have published the results of a new AI experiment.

They wanted to see if LLMs were technically capable of functioning as a robot s brain, that is, connecting their thinking (textual decision-making) with real sensors and movement.

I think the biggest AI boom was in 2023-2024, but only now have I noticed improvements that have positively helped many businesses.

If I had to name three things that have had a very positive impact on business, they are:

• Improved image creation using GPT Chat

• Realistic videos through AI, where costs are reduced by hundreds, sometimes thousands of dollars (production video agency vs. a few custom prompts)

• "vibe coding" tools that show me a visual and I can reverse query and learn why the code is written in such a way that I got a certain result.

There are so many new AI agent platforms ( @Wordware @Lindy @CrewAI @zapier and so on) that I'm finding myself curious how everyone is using them.

What AI agents are you using in production? What do they do? Are they working and reliable? What would make them better? Are they replacing roles? Augmenting existing ones?

I really enjoyed this breakdown by @raphaelschaad and @aaron_epstein (YC partner):

With AI agents and assistants are becoming more advanced, we're seeing them handle everything from scheduling meetings to managing entire workflows.

But here s the big question would you fully trust an AI to run tasks autonomously, or would you prefer keeping an eye on things just in case?

Everyone s been talking about AI Agents over the past year.

But the real leverage doesn t come from the agent itself. It comes from the context you provide:

Meow world, welcome back to The Breakpoint, a weekly thread on all things dev tools on Product Hunt.

The latest

Recent dev-first products launched on the site.

Things in AI move so fast, it s almost absurd. Blink, and there s a new wave of tools redefining everything.

And somehow, since the start of 2025, we ve already seen:

With so many AI tools popping up every week, I m curious:

Which ones have actually stuck around in your workflow?

• Are you using anything for image/video generation?

• Got an underrated writing or code assistant?

• Something that helps automate tedious stuff?

Would love to hear what s been useful (or surprising)!

At this point, all of the AI coding assistants are in the same neighborhood. Decent at "advanced autocomplete", OK at code generation sometimes, and most are somewhere in the process of incorporating code context mechanisms. But what's next? Agentic behavior? Something else?
My pet prediction is that we will see the emergence of a new programming language that's designed for use with AI and can be translated to a variety of popular languages. (Or if we're cursed, just javascript )

I am attempting to observe what you use for coding. I have come across many tools on Product Hunt + Web, but I am fairly certain I have missed quite a bit.
I divided them into "traditional" and "specialised".

Traditional AI models:

DeepSeek

Me First

ChatGPT & Cursor