Claude
Anthropic's AI, built with a focus on safety and depth. Where it outperforms and when to reach for it.
What it is
Claude is built by Anthropic, an AI safety company co-founded by former OpenAI researchers. The current flagship is Claude Sonnet 4 — highly capable across writing, coding, and reasoning tasks.
Anthropic's focus on safety and alignment means Claude tends to be more thoughtful about nuance and less likely to produce misleading content than some competitors.
Where Claude pulls ahead
Claude has a 200,000 token context window — one of the largest available. You can hand it a full book, a 100-page document, or an entire codebase and ask it to work with the whole thing at once.
It consistently performs well on tasks that require:
Following complex, multi-part instructions
Maintaining consistent tone and style across long documents
Nuanced analysis and reasoning
Writing that sounds like a real human wrote it
Claude Code
Claude Code is a terminal-based coding agent that reads your codebase, writes code, runs tests, and commits changes — autonomously. It's what was used to build 313SESSIONS.
For developers and technical founders, it represents a significant productivity multiplier — not just writing code snippets, but understanding the full context of a project and making changes that actually work.
How to use it
claude.ai is the main interface. The free tier is generous. Claude Pro ($20/mo) gives higher usage limits and access to the most capable models.
For developers: the Anthropic API gives programmatic access. Claude models are available through Amazon Bedrock and Google Cloud as well.
When to use Claude vs ChatGPT
Use Claude when:
You're working with long documents
You need it to follow detailed, complex instructions precisely
You want writing that sounds more natural
You're doing nuanced analysis
Use ChatGPT when:
You need a specific plugin or integration
You want image generation built in
You're doing data analysis with code interpreter
You want the widest ecosystem support
Claude is the tool for depth, nuance, and long documents. It's less about breadth and more about quality on complex tasks.