What new AI models and tools can do, what they cost, how they compare, and how to run them yourself.
Set up a free local AI coding agent with Ollama, Qwen2.5-Coder or Devstral, and Aider or Cline. Covers hardware, benchmarks, costs vs Copilot, and tradeoffs.
Employees are giving AI agents access to email and company systems. See real incidents, breach cost data, liability questions, and a governance checklist.
Real examples of AI agents running business workflows in labs, support, legal review, coding, and scheduling, plus where SaaS seats still win.
Compare the total cost of self-hosting open-weight LLMs vs. ChatGPT Enterprise and Microsoft Copilot, with per-seat pricing, break-even points, and hidden costs.
Morgan Stanley AIMS is a GPT-4 assistant searching 100,000+ documents for 16,000 advisors. See how it works, its compliance guardrails, and eval setup.
Klarna's AI assistant did the work of 700 agents, yet the company rebuilt a human support layer in 2025. See what changed, why, and how its hybrid model works.
Learn how to cut LLM API costs with prompt caching, batching, model routing, context trimming, and self-hosting, plus the pricing math behind each method.
Epic's sepsis model scored 0.63 AUC in Michigan Medicine testing versus a claimed 0.76 to 0.83, and missed 67% of sepsis cases. See why it failed.
Moffatt v. Air Canada explained: how a BC tribunal held the airline liable for its chatbot's false refund advice, the CA$812.02 award, and what it means for AI bots.
Kaiser Permanente's ambient AI scribe reached 7,260 physicians and 2.5M encounters. See the NEJM results, the Nabla to Abridge switch, and QA guardrails.
How employees use AI coding tools like Cursor, Lovable, and Claude to clone SaaS features, what it saves, and the security and legal risks involved.
Compare AI coding agent token costs with flat IDE subscriptions like Cursor and Copilot, including real budget data from Uber, DX, and Vantage.
Learn how to review AI-generated pull requests with automated security gates, slopsquatting defenses, and a human checklist built for how AI agents fail.
Build a self-hosted AI router with LiteLLM, open-weight models, and a vector database. Includes AT&T's 56% cost cut, setup steps, and per-seat cost comparison.
Block AI content in search with Google's udm=14 filter, uBlock Origin blocklists, Slop Evader, and AI-filtering engines like Kagi and DuckDuckGo.
Learn how to run several AI coding agents on one repo without merge conflicts, using git worktrees, ownership-based task splits, serial merges, and CODEOWNERS.
Learn how to audit SaaS subscriptions: build an inventory, check usage and seat counts, and act 60 to 90 days before auto-renewal to cut software spend.
Set up a CI gate with secrets scanning, dependency checks for hallucinated packages, and blocking SAST, enforced by branch protection on every pull request.
Run Windows 95, classic Mac OS, and Flash content in a browser tab with v86, Infinite Mac, Ruffle, and WebAssembly. Includes AI decompilation and legal limits.
Build a local AI second brain with markdown notes, Ollama, a local vector store for RAG, and automation. Covers hardware needs, tradeoffs, and maintenance.
Learn how to secure employee AI agent usage: inventory shadow agents, set a fast approval policy, broker MCP access, and monitor continuously, with data.
Claude Haiku 5.5 costs $0.10/$0.50 per million tokens. Local open-weight coding models run $0.06 to $0.55 in electricity. See the real cost math.
Compare building vs buying single-feature SaaS in 2026, with data from Retool, Gartner, and Forrester on costs, SaaS waste, and AI-built internal tools.
AI earned IMO gold and disproved an 80-year-old Erdős conjecture, yet still fails simple math tweaks. See where AI math works and where it breaks.