AI tools are shifting from “chatbots” to work assistants that can research, write, design, code, summarize meetings, and even automate multi-step tasks across your apps (the “ agentic” trend ). 1) How to choose the “best” AI tool (without wasting money) Before picking tools, decide your main use case: Writing & content (blogs, captions, emails, SEO briefs) Research (summaries, citations, fact-checking) Design (social posts, thumbnails, brand kits) Video & audio (shorts, voiceovers, podcasts) Coding (debugging, refactors, documentation) Meetings (notes, summaries, action items) Automation (connect apps + run workflows) Then check these 4 filters: Output quality (is it consistently good for your tasks?) Workflow fit (does it live where you already work—Docs, Notion, IDE, Zoom, etc.?) Privacy & data (can you avoid uploading sensitive info?) Total cost (subscription + add-ons + time saved) 2) The best AI tools by category (2...
Introduction Learn how to deploy a FastAPI application using Docker and Google Cloud Run — step-by-step from writing the app, building the container, pushing it, and running it in Cloud Run. Deploying modern Python web APIs has become easier than ever thanks to frameworks like FastAPI and serverless container platforms like Google Cloud Run. In this post we walk through how to build a FastAPI application, wrap it in a Docker container, push it to Google’s container registry, and deploy to Cloud Run. We’ll use a reference article as a base structure. By the end of this tutorial you’ll have a running FastAPI service accessible on the web, and you’ll understand how the pieces fit together. Why use FastAPI and Cloud Run? FastAPI – modern, fast, Python-based FastAPI allows you to build APIs with very good performance, automatic interactive docs (OpenAPI/Swagger) and type hints. It’s increasingly popular for production-quality APIs in Python. For example, you m...