19 Shoutouts
Ask FT is currently powered by Claude, the large language model (LLM) developed by Anthropic.
We tried multiple other models and found most to be overly optimistic and not giving real, practical feedback on ideas. Claude was perfect and worked super well for objectively evaluating ideas.
We employ Claud Opus to produce text for your needs.
As a designer who's only started developing software in the past two years, Claude was a priceless collaborator on system design, mundane UI scaffolding and numerous other dev tasks.
For their high-quality, cost-effective and easy to embed API
As the most powerful model in the market, Claude Opus is the bedrock of Prophet, surfacing granular article pain points and blending them together from your behavioural data as well as drafting emails
Claude is used for all the AI needs on our platform, including summarizer; chat assistant; etc.
Martin is powered by Claude-3, a state of the art AI model from Anthropic.
Seriously good assistant. Absolutely essential in the development for Ghostsnote, helped us fact check, avoid plagiarism, and was pivotal in deciding what features we should or shouldn't include.
We use various Anthropic models to help power our product.
We support Anthropic models in our backend, which are a canonical family of LLMs.
Claude helps us make sense of all the financial data easily.
A wise wo(man) once said...
Claude powers many of our AI features such as script writing and trend analysis!
Our thousands of AI enquiries a day are made using Claude. Excellent value for this money.
Claude 3 boosts ReplyMind's performance. Its AI ensures our replies are relevant and emotionally compelling, understanding context and sentiment to help users engage effectively on social media.
Claude 3 powers BoodleBox's 1000+ custom GPT bots to provide next level assistance.
Anthropic is our favorite model for data extraction and quote parsing, providing accurate and reliable results.
SmartEReply leverages Claude where understanding human context is crucial, such as replying to direct messages with nuanced, context-aware responses.
For creation features, we found Opus to produce slightly better results.