Maker Shoutouts
Testimonials from top launches
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I spend more time with Claude than with my family!

EverTutor Live responses have been trained using Anthropic's advanced AI models, making ET Live much more stable in terms of responses and handling interactions.


Anthropic's Claude models deliver exceptional reasoning capabilities for complex workflow generation while maintaining strong guardrails. What makes them better is their ability to understand nuanced technical instructions with fewer hallucinations and their long context windows (up to 200K tokens), which allows the extension to generate more complex, multi-node workflows in a single interaction.


Leveraging Claude 3.5 Sonnet for advanced content creation and complex reasoning tasks. Claude's exceptional capabilities in understanding context and generating high-quality outputs have been instrumental in powering our advanced agent features.



Claude's ability to understand user context and intent makes our assistant truly helpful. It excels at identifying what users are actually trying to accomplish.
Claude's exceptional understanding of user intent makes our assistant feel genuinely helpful with database tasks. Their technology excels at identifying what users are actually trying to accomplish and providing intuitive solutions.


Huge thanks to the team at @Anthropic. Claude’s tool use makes it a perfect fit for MCP—enabling AI agents to safely and reliably take real-world actions across 30,000+ Zapier actions.

Some of the best-advanced reasoning models in the market fuel our custom AI agent.




At Wordware, we aim to provide multiple LLMs so that it is easy to switch between various large language model providers with one click. Hence, using Anthropic models was a no-brainer for us, as they are very strong in reasoning, and we often share them with our clients.


Solver combines its own proprietary models with the best of the frontier models, and Anthropic has been doing amazing things lately.


Claude has been a key part of our AI stack. Anthropic AI is pushing the boundaries of what LLMs can do.


Anthropic's Model Context Protocol (MCP) provided a standardized protocol that not only allowed us to add new tools quickly but also enabled our users to bring their own custom tools to the platform.


We used this for of the answer generators.




Thanks for MCP, making compatibility easy with your incredible Claude models!

One of the main technologies we use for powering Lovable, even more performant with latest models.


Claude, recursively edits transcripts for tone and clarity.


Anthropic's reasoning models make it easier to train bot on customized needs.