Google's frontier model family
Leveraging Google's Gemini model family for multimodal tasks spanning text, images, audio, and video with extremely long context windows (up to 1M tokens). Commonly used for applications requiring deep integration with Google Cloud services, large document processing, and multimodal understanding.
Get an API key from Google AI Studio (aistudio.google.com) for prototyping, or set up Vertex AI in Google Cloud for production. Install the SDK with `pip install google-genai` and configure your API key. Free tier available in AI Studio; Vertex AI uses Google Cloud billing.
$ pip install google-genai` and configure your API key Be the first to share a Google Gemini case study and get discovered by clients.
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AI Productivity Expert & Content Creator @ Independent (ex-Google PMM)
Former Google Product Marketing Manager turned AI productivity expert with 1M+ YouTube subscribers. Creates tutorials on using ChatGPT, Claude, Gemini, and Notion AI to 10x workplace productivity. Known for practical, office-worker-focused AI tool tutorials rather than technical deep dives.
AI Developer & Google Developer Expert @ Red Dragon AI
Co-founder of Red Dragon AI and Google Developer Expert for Machine Learning. Creates in-depth YouTube tutorials on building with Google Gemini, LangChain, and other AI frameworks. One of the earliest and most thorough educators on Google's AI tools, from PaLM to Gemini.
AI Video Creator & Ads Expert @ Independent
Specializes in building high-performance generative AI video systems. Creates scroll-stopping, high-ROI videos for Facebook/Instagram, TikTok, and YouTube. Combines advanced AI prompt engineering with professional video editing and multi-platform optimization. Services include AI avatar videos, UGC creatives, explainer/product demo videos, and cinematic AI enhancements.
Prompt Engineer | OpenAI, Anthropic, Google & Open-Source Models @ Independent
Started out winning prompt engineering hackathons, now a top-rated freelancer creating prompts for OpenAI, Anthropic, Google, and open-source models with precision that meets client goals. Known for making AI models 'do things you didn't know were possible.'
Thought leaders
Follow for insights, tutorials, and thought leadership
Independent
British programmer, co-creator of the Django web framework, and one of the best-known software engineers experimenting with LLMs to boost productivity. Runs simonwillison.net, an influential blog offering practical analysis of LLM advancements. Built 77+ HTML/JS apps and 6+ Python apps entirely by prompting LLMs. Created the LLM command-line tool for running prompts from the terminal.
University of Pennsylvania
Associate Professor at Wharton studying AI's effects on work, entrepreneurship, and education. Named one of TIME Magazine's Most Influential People in AI. Author of the NYT bestseller 'Co-Intelligence.' Creator of the One Useful Thing newsletter with 50k+ subscribers. Advised the President's Intelligence Advisory Board on AI. Co-directs Wharton's Generative AI Labs.
Independent / 567 Labs
Creator of Instructor, the most popular Python library for structured data extraction from LLMs with 3M+ monthly downloads and 11k+ GitHub stars. Former Staff ML Engineer at Stitch Fix. Instructor was cited by OpenAI as inspiration for their structured output feature. Works as a freelancer solving business problems using structured LLM outputs.
Google AI Studio
Leading product initiatives at Google AI Studio, advancing AI technologies and fostering developer engagement. Previously held a prominent role at OpenAI. Known fan of both LangChain and LangSmith. Bridges the gap between AI research and developer experience.
Kozyr (formerly Google Chief Decision Scientist)
CEO of Kozyr and formerly Google's first Chief Decision Scientist. Pioneered the field of Decision Intelligence at Google. Now focuses on AI governance, leadership strategy, and organizational AI transformation. Known for making complex AI concepts accessible to business leaders.
DAIR (Distributed AI Research Institute)
Founder of the Distributed AI Research Institute (DAIR). Former co-lead of Google's Ethical AI team. One of the most influential voices in AI ethics and accountability, focusing on responsible autonomy and equitable AI deployment.
Google DeepMind
CEO and co-founder of Google DeepMind, the world's leading AI research lab. Led breakthroughs including AlphaGo (defeating world Go champion), AlphaFold (solving protein folding), and pioneering AGI research. Nobel Prize-winning contributions to computational biology.
MIT / Lex Fridman Podcast
Research scientist at MIT and host of the Lex Fridman Podcast, one of the most popular technology podcasts with 4.2M+ Twitter followers. Interviews the world's leading AI researchers, engineers, and entrepreneurs. Deep expertise in autonomous systems, deep learning, and human-robot interaction.
Sinovation Ventures / 01.AI
CEO of Sinovation Ventures and founder of 01.AI. Former President of Google China. Author of 'AI Superpowers.' One of the most influential voices in global AI strategy with 1.4M+ followers. Bridges the gap between Chinese and Western AI ecosystems.
Google Cloud
Director of Analytics & AI Solutions at Google Cloud. Author of 'Machine Learning Design Patterns' and 'Data Science on the Google Cloud Platform' (O'Reilly). Prolific technical content creator on Vertex AI and production ML patterns.
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