Claude 4 arrives: from quick answers to sustained work
The latest models can stay on a complex task for much longer without losing the thread. That moves AI from helping with steps to completing larger pieces of work — under supervision.
By the Xuru Technologies team · 24 May 2025
Key takeaways
- On 22 May 2025 Anthropic released Claude Opus 4 and Claude Sonnet 4.
- Anthropic described Opus 4 as able to work continuously for several hours on long-running tasks and highlighted strong coding performance.
- Claude Code became generally available with integrations for popular development environments.
- Longer-running AI makes good task definition, testing and review even more important.
The first wave of AI tools answered questions. The second wave helped with tasks. This wave can take on projects — if someone defines them well and checks the results.
What happened
Anthropic announced Claude 4, with both models offering near-instant responses and extended thinking, tool use during reasoning and improved memory when given access to files. Independent coverage such as DEV Community focused on its coding and agentic abilities.
What it means for businesses
- Bigger chunks of work can be delegated — migrations, refactors, document processing and research.
- Specification is the skill. Clear goals, constraints and acceptance tests decide whether long tasks succeed.
- Review scales with output. More AI work means more need for experienced checking.
- Software buyers benefit from faster delivery when suppliers use these tools with discipline.
Delegating longer tasks to AI
| Before | During | After |
|---|---|---|
| Write the goal and constraints | Let the AI plan, then approve the plan | Test against agreed criteria |
| Provide examples and data | Check progress at milestones | Human review before release |
See how to write a website brief — the same discipline works for AI.
Frequently asked questions
Can AI now build a whole website on its own?
It can produce a lot of the code quickly. Strategy, design decisions, content accuracy, accessibility and quality assurance still need people.
Which Claude model should a business use?
Larger models suit complex, high-value tasks; smaller, faster models suit high-volume, simpler tasks. Test on your real work.
Is it safe to let AI work for hours unattended?
Give it limited permissions and a sandboxed environment, and review results before anything reaches customers.
Faster projects, still carefully checked.
We use the latest AI tools to build faster, with experienced people defining, testing and approving every deliverable.
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