Online Course Banner Visual Brief
Create course banner visual directions and Midjourney-ready prompts that communicate the course subject, learner outcome, audience, credibility, and platform fit.
Searchable workflow library
Find copy-ready prompts for Codex, ChatGPT, Claude, Gemini, and practical AI workflows. Filter by outcome, category, tool, difficulty, or keyword.
Create course banner visual directions and Midjourney-ready prompts that communicate the course subject, learner outcome, audience, credibility, and platform fit.
Use Codex to produce an evidence-based safety review of proposed Laravel schema and data migrations, including engine-specific lock analysis, rolling-release compatibility, backfill controls, recovery planning, and measurable deployment acceptance criteria.
Use Perplexity to build a citation-backed procurement dossier that tests AI, SaaS, software, agency, or service-provider claims, grades evidence, records unresolved risks, and prepares precise vendor questions without representing research as approval or completed due diligence.
Design a prompt regression test suite that detects when a reusable prompt starts producing weaker, unsafe, inaccurate, off-brand, or poorly formatted outputs across versions.
Create realistic Midjourney product lifestyle mockup prompts using product context, target customer, use scenario, brand style, materials, scene constraints, and visual quality checks.
Design a governed prompt library for a department, including use-case mapping, prompt templates, naming rules, ownership, testing, version control, training, rollout, and maintenance practices.
A Codex coding prompt for proposing and, when authorized, implementing one metadata-driven static site system that serves distinct sale, ecosystem, active-destination, and fallback pages by hostname. It includes Cloudflare Workers controls, domain-inventory reconciliation, SEO checks, active-domain safeguards, and evidence-based reporting without assuming deployment or provider access.
Analyze discovery-call evidence in ChatGPT to produce a traceable deal debrief, qualification review, risk register, CRM draft, buyer follow-up, and next-step plan without inventing sales signals.
Analyze supplied website screenshots, page copy, analytics observations, anonymized user feedback evidence, inspectable competitor evidence, and business context in Gemini to produce a traceable UX and conversion audit with prioritized improvements, experiment proposals, measurement requirements, and human review gates.
Turn one substantial research asset into a channel-specific content distribution system with quality controls.
Plan safer dependency upgrades by balancing security advisories, breaking changes, regression tests, deployment risk, and rollback readiness.
Analyze spreadsheet KPI movement, reconcile numerator, denominator, volume, rate, mix, timing, and data effects, and produce evidence-qualified findings with concrete verification and decision gates.