Tool tag: Prompt Engineering

AI for UI Mockups: Where It Helps, Where It Breaks

Prompt-to-UI is excellent at exploring twenty directions and bad at the one that ships. The design-system, accessibility and sameness costs, in detail.

AI for Website Localization: The SEO Layer

The quality-gate pipeline — MT, LLM post-edit, termbase, targeted human review — plus the hreflang and spam-policy rules that decide whether it ranks.

AI for Code Review: What It Catches and What It Misses

What AI code review reliably catches, what it structurally cannot, and how to stop the false positives that get the bot muted within two weeks.

AI for Contract Review: Tools & Confidentiality

Extract clauses, flag risk, compare against a playbook — and answer the question every vendor page skips: may you paste this contract in at all?

AI for Lesson Plans: A Teacher’s Guide

Build standards-aligned, differentiated lesson plans with AI — plus the student-privacy rule most tools will not tell you about.

AI for Podcast Show Notes: The Full Pipeline

Build a repeatable episode pipeline — diarized transcript, real chapters, notes, SEO — and stop a model inventing timestamps it cannot hear.

AI for Product Descriptions: The 500-SKU Bulk Workflow

Generate product descriptions for a whole catalog: CSV in, JSON schema out, machine-checked, deduplicated, imported back. The bulk path vendors skip.

AI for Real Estate Listings: Fair Housing Guide

Draft MLS listing copy with AI without publishing a Fair Housing Act violation — the constrained prompt, the red-flag list, and the review that catches it.

AI for Sales Research: The Grounded Account Brief

Build a cited pre-call account brief in 10 minutes — and never repeat a fact the model invented. Grounded AI research, verification, and the GDPR limits.

AI for Support Ticket Triage: Classify & Route

Classify and route support tickets with an LLM — confidence thresholds, a human escalation path, and the eval set that tells you if it actually works.