AI Deep Dives & Tutorials
Detailed breakdowns, step-by-step guides, and video demos that show how to create content with AI and where to apply new tools.
AI Prompting & Automation: Advanced Workflows for B2B Marketers
This training series helps B2B marketers learn smart ways to use AI tools like ChatGPT and Gemini for their work....
Voice AI: The Enterprise Shift to Autonomous Customer Engagement
Fortune 500 companies are turning to advanced voice AI platforms like Bland to handle customer calls instead of oldstyle call...
Mastering Hyper-Realistic AI Image Generation: A 2025 Enterprise Guide
In 2025, companies can make super realistic AI images quickly using new tools like ChatGPT, DALLE 3, and Midjourney V7....
Marvis-TTS: Revolutionizing Enterprise TTS with Local, On-Device AI
MarvisTTS is a small, opensource texttospeech tool that works right on your device, so nothing needs to be sent to...
Building an Alpha in 5 Days: The $6K, 20-Human-Hour AI Agent Swarm Playbook
A small team built a working AI agent swarm product in just five days, spending around $6,000. They used 20...
Unlocking AI Accuracy: How Validated Document Workflows Transform Manufacturing Data
Most manufacturing data is stuck in messy formats like PDFs and scans, making it hard for AI to use. Validated...
Reddit’s Intelligent Notification Engine: Powering Real-Time Engagement with Scalable ML Systems
Reddit's notification engine uses smart machine learning to decide which of millions of new posts should become alerts for each...
AI-Generated Proofs: The Blurring Line Between Retrieval and Invention
On August 20, 2025, GPT5pro created a new proof in convex optimization that wowed people online. But soon, someone found...
The Claude Code Playbook: AI as Your Junior Dev, Not Just a Stencil
Teams can use Claude Code like a junior developer to help them work faster and make fewer mistakes. By creating...
ThinkMesh: Advancing Enterprise LLM Reasoning with Parallel Processing & Confidence Gating
ThinkMesh is a new opensource Python library that helps large language models (LLMs) think in parallel, making their answers more...
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