Model‑Agnostic Architecture: Swap LLM Providers with Ease
A practical guide to designing model‑agnostic app architecture: adapter layers, unified prompts, normalization, feature flags, evaluation harnesses, and checklists.
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Gemini Notebook Workflow: A Practical Guide for Class Projects
Gemini Notebook workflow for students: ingest PDFs, slides, and webpages to make citation-aware summaries, clear outlines, and exportable project reports.
What Is Full‑Stack AI? Layers, Roles, and Where to Start
A practical guide to full‑stack AI: the core layers, who owns them, vendor choices, tradeoffs, and checklists to run safe, low-risk AI experiments.
AI privacy checklist: 10 checks to test an AI tool in an hour
A non-technical, one-hour AI privacy checklist with 10 concrete tests, vendor questions, sample prompts, and a printable team takeaway to verify data safety.
AI email triage: rule-driven workflow to prioritize, summarize, reply
Build a safe, rule-driven AI email triage workflow: set filters, use summary and reply prompts, include human approvals and credential safeguards.
Teach Students to Critically Evaluate AI Outputs: Classroom Guide
A practical classroom guide with step-by-step exercises, sample prompts, and rubrics to teach students how to critically evaluate AI outputs and cite sources.
Pilot Plan: Safe, Low‑Risk AI Agent Experiments for Small Teams
A practical two-week playbook for small teams to run low-risk AI agent pilots: narrow use cases, minimal tech, scoped permissions, A/B tests, and rollback steps.
Prepare Your Small Business for AI Regulation: Checklist
A practical seven-step checklist to help small businesses inventory AI use, secure data flows, vet vendors, prepare incident logs, and plan consent and communications.
Design AI Consent & Transparency: Practical Team Checklist
A practical, team-friendly guide to designing consent flows and transparency for AI that uses personal data, with UI examples, logging, and QA checks.
Extract Data from PDFs with LLMs: No-Code Invoice Tutorial
A step-by-step no-code tutorial to extract tables and fields from messy PDFs and invoices using OCR, LLM prompt templates, light validation, and CSV export.