According to @godofprompt on Twitter, Anthropic engineers have leaked their internal AI workflow, revealing that 99% of users are misapplying large language models (LLMs). The engineers outlined five expert techniques that differentiate professional AI practitioners from amateurs, emphasizing workflow optimization for Claude, Anthropic's flagship AI model. These techniques reportedly enhance prompt engineering, context management, iterative refinement, structured output validation, and the use of advanced API features. Businesses leveraging these methods can significantly improve productivity, model accuracy, and ROI in enterprise AI deployments (source: twitter.com/godofprompt/status/2009907269102968921).

According to @GeminiApp, Google’s Gemini platform now allows users to create their own custom AI workflows using the Gems manager on desktop. Users can leverage pre-made Gems from @GoogleLabs, remix them for personalized solutions, or build entirely new AI-powered tools from scratch. This functionality opens up significant business opportunities for enterprises and developers to tailor AI assistants for specific tasks, increasing productivity and enabling scalable automation. The feature, accessible via gemini.google.com/gems/view, positions Gemini as a competitive player in the AI productivity market by empowering users with flexible, no-code AI customization options (source: @GeminiApp, Dec 17, 2025).

According to @godofprompt, Claude AI consistently delivers perfect results in a single attempt, while ChatGPT often requires up to five revisions to reach a satisfactory output (source: twitter.com/godofprompt/status/1986581890665484777). This comparison highlights a significant trend in the AI industry, where efficiency and output quality are key differentiators among leading language models. Businesses seeking productivity gains and lower operational costs can leverage Claude AI's one-shot capabilities to streamline content creation, customer support, and automation tasks, reducing revision cycles and saving time. The growing demand for high-accuracy, low-maintenance AI solutions suggests a market opportunity for platforms that prioritize first-attempt precision and user satisfaction.

According to OpenAI (@OpenAI), Record mode is now being rolled out to ChatGPT Pro, Enterprise, and Edu users, with initial availability on the macOS desktop app (source: https://twitter.com/OpenAI/status/1935419375600926971). This new feature enables users to capture and utilize voice inputs directly within ChatGPT, streamlining workflows for business and education applications. For enterprises, Record mode presents an opportunity to enhance productivity through automated meeting transcriptions and voice-driven AI interactions. Educational organizations can leverage this tool to support accessibility and improve learning experiences. The rollout reinforces OpenAI's focus on practical AI tools for professional and academic environments, expanding real-world use cases for AI-powered assistants.

According to OpenAI (@OpenAI), ChatGPT now supports integration with a wider range of internal data sources, including Outlook, Teams, Google Drive, Gmail, and Linear, allowing users to pull in real-time context while maintaining existing user-level permissions. This feature is available for Plus and Pro users (excluding EEA, Switzerland, and UK), as well as Team, Enterprise, and Edu customers. The rollout of enhanced connectors enables businesses and organizations to streamline deep research workflows, automate information retrieval, and drive productivity by leveraging up-to-date internal data securely under current access controls (source: @OpenAI, June 4, 2025).