Google AI Mode is shifting search from ranking pages to recommending vendors. Here is the playbook for founders, ecommerce operators, SaaS teams, agencies, and local businesses.
Author: Ahmad Lala
Ahmad Lala
Ahmad works in AI agent operations at G42. Before that, he spent 17 years working in communications and software development. He builds and maintains AI workflows in production daily and writes the blueprints he wishes someone had given him when he started. Every guide on this site is AI-assisted and human-tested. All articles reflect his personal opinions and thoughts and do not necessarily represent those of his employer (G42).
AI agent tooling is getting easier. Career value moved up the stack: workflow design, domain literacy, evals, cost judgment, trust design, rollout skill. 7 skills, scorecard, pricing comparison, and field notes.
A practitioner framework for evaluating AI agents: a 21-point scorecard across 7 pillars (completion, accuracy, tool use, trajectory, reliability, latency/cost, safety), a three-test loop you can run in an afternoon, an interactive calculator, and a comparison of every major eval tool in 2026. Built for U.S. teams shipping agents at small and mid-sized companies.
Agent washing is the new greenwashing – vendors slapping ‘AI agent’ on chatbots and scripts. Use this 4-point checklist to separate real agentic AI from expensive marketing.
Agentic AI Pilot-to-Production Timeline What Actually Takes How Long – and What Kills Projects Along the Way Data synthesized from…
Sixty field-tested ways to save tokens on Claude in 2026, organized for Chat users, Cowork and Teams operators, and Claude Code developers – plus the community secrets from Reddit, GitHub, and X that actually move the needle.
Three complete paths for creating a logo with Claude – from a 30-minute fast track to a full brand system using Claude Design and the Canva connector. Includes prompts, worked examples, and field notes.
Step-by-step walkthrough for creating a real, usable logo with ChatGPT – including brand brief prompts, a worked example, refinement techniques, and what to do with the files after.
A field-tested guide to 21 OpenClaw use cases that actually justify running an agent – organized across 7 industries, with implementation patterns, architecture notes, and the Three-Gate Test for picking your first workflow.
Your company already has the answers — they’re just buried in scattered documents. This step-by-step blueprint shows you how to build an AI knowledge base from your internal docs using no-code tools like Notion AI and Google NotebookLM, with a technical RAG alternative for developer-led teams. Includes real case studies, an anti-hallucination framework, and field notes from production deployments.