Claude
The AI model I rely on for demanding work.
Claude by Anthropic is the AI behind my client projects and internal automations. Precise instruction following, reliable code quality and a clear focus on safety - that is why I build on this model.
Claude and Anthropic in brief
Claude is the family of AI models built by Anthropic. Anthropic puts AI safety and reliable behaviour at the centre of its work - the Constitutional AI approach results in models that hallucinate less and tend to ask rather than guess when uncertain.
For practical use, one thing matters above all: Claude follows instructions without drifting off creatively. In software development this predictability is not a nice-to-have, it is a prerequisite. That very reliability makes Claude a technology business processes can depend on.
Safety first
Anthropic's focus on AI safety and Constitutional AI produces models that hallucinate less and know their limits.
Precise instruction following
Claude carries out instructions accurately instead of deviating on its own - the basis for predictable results.
Reliability
High consistency across many tasks - from a short text to a multi-step agentic workflow.
My reasons for Claude
I have worked with Anthropic's models since the Claude 2 era. The decision to use Claude as the primary model for client projects and internal automation is based on concrete day-to-day experience.
Code quality
On Anthropic's own coding benchmark, Opus 5 solves more than twice as many tasks as its predecessor Opus 4.8. Day to day that shows up as production-ready code changes that rarely need rework.
Reasoning
Deep, multi-step reasoning for complex problems - with effort-level control, thinking depth can be matched to the task.
Agentic workflows
Claude Code enables fully autonomous development workflows - from analysis through implementation to git push. A serious productivity multiplier.
Privacy in mind
Sensitive data can be processed via EU deployments. Privacy is part of the architecture, not bolted on afterwards.
„Predictability is no luxury in software development. Claude delivers it - and that is exactly why I build on it.“
The Claude model family
Three clearly defined performance tiers - I pick the right model for each task.
Claude Opus 5
FlagshipMaximum intelligence for complex tasks.
- Current flagship (released 24 July 2026)
- Context window: 1 million tokens
- More than twice as strong as Opus 4.8 on Anthropic's coding benchmark
- For agentic workflows and deep reasoning
Claude Sonnet 5
StandardThe balanced middle ground for production use.
- Recommended standard model
- Context window: 1 million tokens
- Maximum output: 128,000 tokens
- For around 90 % of all production workflows
Claude Haiku 4.5
FastSpeed and efficiency at high volume.
- Fastest model in the family
- Context window: 200,000 tokens
- Considerably faster than the large models
- For real-time classification and triage
I stay close to the model landscape
Anyone using AI in production has to keep an eye on change. Most recently, Claude Opus 5 arrived on 24 July 2026 and replaced Opus 4.8 as the flagship, at an unchanged price per token. Above it sits Claude Fable 5 as the most capable publicly available model, for which Anthropic charges twice the token price. With every release I reassess which model makes economic sense for which task, rather than reflexively reaching for the most expensive one.
Fable 5 itself showed how quickly availability can change. The model was shut down worldwide by order of the US Commerce Department three days after its launch in June 2026 and only became available again on 1 July. That is why I plan projects with defined fallback models, so that a model outage does not become a business outage.
GDPR-compliant use
For European businesses, GDPR is the central test when choosing an AI provider. Claude can be used compliantly - with the right prerequisites.
A data processing agreement (DPA) under Article 28 GDPR is available from the Team plan onwards. Since the direct Anthropic API does not yet offer native EU data residency, for sensitive data I use access via AWS Bedrock EU or Google Cloud Vertex AI EU - complemented by a documented transfer impact assessment.
DPA from the Team plan
Data processing agreement under Article 28 GDPR - the minimum requirement for business use involving personal data.
EU access via Bedrock / Vertex
AWS Bedrock EU (Frankfurt, Ireland) and Google Cloud Vertex AI EU process data within the EU region.
Clean documentation
A transfer impact assessment and clear rules on which data ever enters a prompt.
Frequently asked questions about Claude
Answers to the most important questions on model choice, data protection and use.
Which Claude model do you use for my project?
What is the difference between Claude Opus 5 and Claude Fable 5?
Can Claude be used in a GDPR-compliant way?
Why Claude and not another AI model?
Does using Claude incur high costs?
What happens if a model is no longer available?
Want to use Claude in your business?
In a free initial consultation we look together at where AI creates the most value for you - from model choice through integration to GDPR-compliant implementation.