Test minute by minute

An efficient e-commerce platform for rapidly growing and large online businesses that need complete control, scalability, and a solution without compromises, is already operating today with its own AI agent, which accelerates analytics, enhances solution quality, and actively supports business growth.
The AI agent can work 24/7 with real data from ERP, CRM, or warehouse systems, detect anomalies, and alert to potential issues before they manifest in the numbers.

more info on the page BUXUS flexible cms

The agency ui42 is already hiring more AI agents than real people today. Why? Our goal is not to lay off people, but to increase efficiency, serve more customers, and eliminate errors. 

More info in Andrej Kajan's post on LinkedIn.

On April 16th, we switched our in-house AI agents to the new Opus, and after several days of testing on a sample of more than 62 users, we can say that the difference is noticeable. The new Opus delivers higher quality and more comprehensive outputs, gets stuck in the middle of a task less often, and what we appreciate the most, it asks questions before starting the work. Instead of blindly rushing forward, it first clarifies the context, resulting in in-depth, thoughtful analysis and higher quality outputs.

However, it comes at a cost. More than 50% of users confirmed that they perceive the added value of the new model, but they also pointed out that working with it is more time-consuming and complicated. What the previous version managed in a minute now takes 2–3 times longer precisely because of the initial deeper analysis.

Verdict: Opus 4.7 is a clear step forward in the quality of reasoning. If you need a quick answer, it might be overkill. If you need a thoughtful output that can be trusted, it's a clear upgrade.

Most of our clients today do not face the question of whether to use AI. They face another problem, AI has already started to coexist natively within the company, but no one is managing it.

Employees have started to build their own solutions for various automations, small internal tools, and have created their own workflows. Everyone is solving their problem in their own sandbox. Everyone is optimizing their work. The result? Local efficiency. Global chaos.

more info in the blog Management and strategy of working with AI tools in large companies

Opus 4.7 is here and compared to 4.6, it's a solid step forward, especially in coding and agent tasks.

What's new in it?

• Vision now handles images up to 2,576 px (3× more than before)
• A new effort level "xhigh" has been added, for when you need Claude to really think
• In Claude Code, a new /ultrareview command
• Auto mode for Max users, Claude decides on his own for longer tasks

The price remains the same: $5 / $25 per million tokens (input/output). But beware, the new tokenizer consumes 0–35% more tokens for the same task, so the actual bill may be higher.

What this means for our AI agent: Claude Code with Opus 4.7 and xhigh should finally handle longer autonomous tasks without getting "lost" somewhere. For us, this is particularly interesting in:

• automation of reports,
• custom analytical tooling,
• BUXUS integrations.

However, at the data level, it is a fundamental problem: The product price is €33, with a margin of 35%, which means a profit of €11.55 per piece.

With a return rate of 28%, this meant, that approximately 2,500 pieces were returned monthly. Just in lost margin, this represented more than €30,000 monthly, or nearly €360,000 annually.

And we are still only talking about the sales margin. The moment media and production marketing costs associated with acquisition, logistics costs, handling, or restocking are included, the real loss can climb up to half a million euros annually. All this in a situation that at first glance looked completely healthy in the dashboards.

More info in the Case Study: The brand thought it was growing. We showed it was bleeding.