Anthropic is accelerating its strategy with the imminent launch of Claude Opus 4.7, a model accompanied by a tool capable of generating complete digital products from simple instructions. This advance marks a clear repositioning towards automated production platforms. At the same time, the existence of a more advanced internal model, with sensitive capabilities, raises questions about the uses and limits of these systems.

In brief
- Anthropic is accelerating with Claude Opus 4.7, a template designed to automate the creation of complete digital products.
- The company introduces a full-stack production tool, capable of generating websites, presentations and landing pages via simple instructions.
- This advance positions Anthropic in direct competition with design and no-code players like Adobe, Wix or Figma.
- At the same time, an internal model named Claude Mythos reveals much more advanced capabilities, particularly in complex technical scenarios.
Anthropic attacks the creative tools market with Opus 4.7
Anthropic is preparing to take a step forward with the launch of Claude Opus 4.7, accompanied by an automated creation tool aimed at transforming digital production. This launch could take place quickly, with a clear ambition: to allow any user to generate complete products from simple instructions.
The tool would notably make it possible to create websites, presentations or landing pages in natural language, without advanced technical skills.
The key elements of this announcement revealed an offensive strategy:
- A full-stack design tool capable of producing complete interfaces via prompts;
- A broader target including both developers and non-technical users;
- Direct competition with players like Adobe, Wix or Figma;
- Anthropic's desire to be part of a logic of automated production of digital products.
This approach reflects a shift towards AI capable of replacing certain functions traditionally carried out by specialized software. By centralizing generation, structuring and deployment, Anthropic seeks to radically simplify the creation processes, while redefining the standards of no-code and design assisted by artificial intelligence.
Mythos, an internal model with controversial capabilities
In parallel with this offensive, Anthropic is internally developing a much more advanced model called Claude Mythos, which is not intended for public use. This system was tested by the UK AI Security Institute in a network attack simulation called “The Last Ones”.
During this exercise, Mythos succeeded 3 out of 10 attempts, reaching on average 22 out of 32 steps, compared to 16 steps for Opus 4.6. These results and on-chain data demonstrate a high level of autonomy in the execution of complex scenarios, including coordinated actions over several phases of an attack.
These performances highlight a significant evolution of AI models towards full operational capabilities, going beyond simple language processing. Mythos illustrates this transition towards systems capable of acting autonomously in sensitive technical environments.
At the same time, this progression reveals the current limits of evaluation tools. Several players in the sector, including OpenAI, contest the reliability of certain benchmarks, which are contaminated or unrepresentative. Tests like ARC-AGI-3 also show considerable differences between the performance of the models, Gemini at 0.37%, GPT-5.4 at 0.26%, and those of humans, which reach 100%.
These elements reflect a profound change in the industry. AI is no longer limited to generating content or code. It is moving towards systems capable of designing, executing and potentially operating digital environments. This convergence between creation and action opens up new perspectives, while raising questions about the regulation, security and use of these technologies as they become more autonomous.
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