GPT‑4.1 from OpenAI and Claude 4 from Anthropic: How UX Development Is Reaching a New Level

In spring 2025, OpenAI and Anthropic released updates to their language models GPT‑4.1 and Claude 4. AI no longer lives in a separate chat. It offers prompts directly during user actions, such as filling out a form, making a purchase, or mastering a service. For business, this means not just interface improvement but directly impacting conversion, loyalty, and service speed.

What’s new in GPT‑4.1 and Claude 4 from the UX perspective

Both releases emphasize context, personalization, and consistent handling of user scenarios where a chain of actions is important, not just a single reaction.

GPT‑4.1 from OpenAI

• Instant Response. Responds almost immediately even in complex scenarios, making interface work faster and eliminating user pauses.
• Flexible Context Understanding. Accurately captures user intentions, even if the request is incomplete, informal, or contains contradictions.
• Scenario-based Guidance. Maintains user logic, suggests next steps, and keeps context even in long chains.
• Interface Integration. Can be embedded in input fields, auto-completion, dynamic hints, mini-guides, and training blocks.

GPT‑4.1 already operates in GitHub Copilot, corporate assistants, digital services, feedback interfaces, automation, and support.

Claude 4 from Anthropic

• Enhanced Emotion Handling. Detects user mood and adapts tone, helping gently guide them through scenarios, reducing barriers and anxiety.
• Delicate Support. Explains terms, suggests options, and tactfully engages users during complex decisions or refusals without forcing actions.
• Personalization. Quickly adapts to individual communication styles, suitable for services with diverse audiences.
• Flexible Integration. Also embedded via API in collaborative work tools, support platforms, and enterprise services.

Claude 4 is actively adopted in Google Workspace, Figma, Notion, IDE plugins, and no-code platforms. Available via Claude Web/Desktop, API, and Anthropic’s enterprise solutions.

Some statistics: what implementing AI assistants in digital products gives business

Increased conversion and reduced errors

AI assistants integrated into forms, carts, and registration interfaces help users: suggest correct formats, automatically fix common errors, and warn about inconsistencies before submission. According to Marketo, AI suggestions and autofill reduce abandoned forms and increase completed orders and applications by 20–25%.

Reduced support load

Automatic hints and explanations allow users to resolve standard questions independently. For example, after implementing AI bots, routine inquiries in banks and SaaS products drop by around 35%. Support teams then handle only complex, unique cases, while routine questions are closed within the interface.

Personalized paths and faster onboarding

AI assistants analyze user behavior and tailor scenarios accordingly. Beginners get brief explanations of key features, experienced users receive personal recommendations or quick links to relevant sections. This approach has proved effective in EdTech platforms and e-commerce: adaptive hints shorten onboarding time and reduce user drop-off in the first days.

Fast handling of requests via automation

AI automates processing routine queries and status updates, reducing wait times. Bain data shows AI speeds support processes by up to 30%, and McKinsey confirms that automation cuts service costs by up to 40% and increases customer satisfaction by 20%.

Which products and interfaces should incorporate AI in 2025?

• Mobile applications: food delivery, taxis, marketplaces, service apps, delivery, booking apps.
• Web services and SaaS platforms: CRM systems, personal accounts, enterprise portals, document management systems, project management platforms, cloud accounting.
• Smart TV applications and multimedia products: online cinemas, educational and children’s apps, interactive TV platforms.
• Corporate systems: internal helpdesk, knowledge bases, ERP, HR services, employee support systems.
• Remote learning products: EdTech platforms, corporate trainers, educational portals.
• Commerce services: online shops, personalized recommendation platforms, customer support chats.
• Communication and collaboration platforms: messengers, email services, collaborative editors, video conferencing platforms.
• Specialized B2B solutions: financial platforms, analytics services, industry calculators, monitoring and forecasting systems.

How to choose between GPT‑4.1 and Claude 4 and build flexibility into your product

The choice of model depends on your specific tasks:

• GPT‑4.1: If you need complex chains of actions, high response speed, and stable operation with large data volumes.
• Claude 4: If tone of communication, dealing with different user types, and reducing emotional barriers are more important.

The best approach is to design your product’s architecture with the flexibility to switch models quickly. For this, expert assistance is needed. The DigiNeat team analyzes business processes, selects the optimal architecture, integrates the model for specific tasks, tests real scenarios, and provides ongoing support to ensure the AI assistant delivers consistent results and evolves with evolving technology.