by Paul Helmick | Feb 2, 2026 | Videos
Paul’s Perspective: Most organizations don’t need more AI experiments; they need reliable throughput. A command-center approach that standardizes “how work gets done” (skills) and automates repeatable tasks (scheduled workflows) is a practical step toward making...
by Paul Helmick | Jan 31, 2026 | Videos
Paul’s Perspective: Founder-level context helps you separate hype from direction. If you’re evaluating AI tools, a short message like this can save time by clarifying what the product is trying to be, who it’s for, and whether it aligns with your near-term...
by Paul Helmick | Jan 30, 2026 | Videos
Paul’s Perspective: Most teams don’t lose productivity because they lack information; they lose it because critical inputs never translate into the next decision or next action. An AI second brain shifts the work from “remembering and organizing” to “routing and...
by Paul Helmick | Jan 30, 2026 | Videos
Paul’s Perspective: This is a meaningful shift from “AI as a separate app” to “AI as a workflow layer” directly inside the browser where most knowledge work happens. For leaders trying to reduce cycle time and improve consistency, embedded AI can remove...
by Paul Helmick | Jan 30, 2026 | Videos
Paul’s Perspective: Most companies struggle with AI initiatives because they’re fragmented across tools, prompts, and one-off experiments. A shared chat layer tied directly to automations and agents reduces friction, improves reuse and governance, and helps...