by Paul Helmick | Mar 4, 2026 | Articles
Paul’s Perspective: AI doesn’t “learn your business” unless you operationalize context. Treating each chat as a fresh start guarantees drift: different people get different answers, quality becomes personality-driven, and the organization can’t scale what works....
by Paul Helmick | Mar 3, 2026 | Videos
Paul’s Perspective: The winners with AI won’t be the teams with the most subscriptions; they’ll be the teams with durable, reusable context that every tool can access. When your company’s knowledge lives in an agent-readable memory layer you control, you reduce...
by Paul Helmick | Mar 2, 2026 | Videos
Paul’s Perspective: Most companies are treating AI like a one-time tool rollout (train people, write prompts, standardize workflows). The more durable advantage is operational: building a management muscle that continuously detects model boundary shifts,...
by Paul Helmick | Mar 1, 2026 | Videos
Paul’s Perspective: Image generation is moving from “cool demos” to dependable production tooling, and the biggest unlock is consistency—especially with text, branding, and repeated characters. When outputs become more predictable and cheaper to iterate, small...
by Paul Helmick | Mar 1, 2026 | Videos
Paul’s Perspective: If your team is using AI in an ad hoc way, results vary by who wrote the prompt and how much context they remembered to include. Treating key workflows as reusable “skills” turns scattered experimentation into repeatable operations, which is...
