Happy Monday 👋🏽 We’ve crossed a threshold. AI is no longer just a headline or a boardroom talking point—it’s the quiet infrastructure reshaping how businesses live or die. Large language models (LLMs) have moved from experiment to essential, and the advantage now belongs to those who don’t wait, but build. The pattern is clear. From corporate giants to founders and small teams, few are waiting for polished products. Instead, they're plugging into APIs, running scrappy tests, and scaling whatever proves effective in practice. In a market this fluid, speed and adaptability are essential to business viability. Here are five LLM APIs worth your attention 👇🏽 1️⃣ OpenAI (ChatGPT API) The most widely used conversational AI. Runs chatbots, content ops, and internal agents. If you want fast adoption, this is the entry point. 🔗 chatgpt.com 2️⃣ Anthropic (Claude API) Built for reliability and safety. Handles long documents and compliance-heavy use cases better than most. 🔗 console.anthropic.com 3️⃣ Perplexity API AI-powered research with sources. Ideal for due diligence, fact-checking, and staying defensible in high-stakes industries. 🔗perplexity.ai 4️⃣ Google Gemini API Google’s flagship. Strong in multimodal (text, image, code) and seamless inside Google Cloud + Workspace. 🔗 aistudio.google.com 5️⃣ Microsoft Azure AI Enterprise-grade. Copilot + Cognitive Services let companies tap AI across Office, Teams, and cloud infrastructure. 🔗 copilot.microsoft.com/ ⸻ 💻 FYI A large language model (LLM) is an AI system trained on enormous amounts of text so it can understand and generate human-like language. An API—short for application programming interface—is the plug that lets your business tap into that intelligence and put it to work inside your own tools, products, or workflows. ⸻ 💡 Why this matters Every business leader should treat these LLMs and APIs like picks and shovels in a gold rush. They’re the foundation for building agents, automating workflows, and staying competitive when margins counts. ⸻ ❓ A Question for the Community Which of these LLMs—or APIs—are you experimenting with right now? ▪️ Is it powering customer service? ▪️ Research? ▪️ Internal ops? ⸻ Drop your insights and tell us how you’re putting these tools to work 🔻