Technology
Craig Hewitt
Practical AI-for-business videos explore tools, workflows, automation, and leadership decisions for founders and operators. Recent long-form uploads pair comparisons of Claude, Grok, and ChatGPT with workflow walkthroughs, while shorter posts extend the same productivity and strategy themes. This is most useful for viewers seeking applied ideas for adopting AI at work; product-specific recommendations merit comparison against current requirements and costs.
Editorially reviewed:

Based on 20 recent videos
Assessed 06 September 2026
Editorial note
WorthWatch verdict
Best for
Founders building practical AI workflows for their teams
Strength
Applied guidance linking AI tools to operational processes
Consider if
you want current tool recommendations alongside broader implementation ideas
Recent videos
Latest from the source
Deep Dive
Craig Hewitt: AI Workflows for Founders and Operators
Main focus
Craig Hewitt addresses the practical side of bringing AI into business operations, from tool choices and prompting to automation and leadership decisions. The focus stays on founders and teams looking to turn fast-moving products into workable processes.
Why it matters
Choosing an AI tool or designing a repeatable workflow becomes more manageable through comparisons and applied walkthroughs. The material connects product capabilities to day-to-day productivity, helping operators frame adoption decisions beyond novelty.
Style
Long-form comparisons of Claude, Grok, and ChatGPT sit alongside workflow walkthroughs, with shorter posts carrying the productivity and strategy thread forward. The teaching is practical and business-facing, centering prompts, automations, and decisions teams can put into use.
Consistency
Nearly 500 videos create a useful reference base; recent long-form comparisons and workflow guides sit alongside shorter productivity and strategy posts.
- AI tool comparisons
- Prompting for business use
- Workflow automation
- Productivity systems
- AI adoption for teams
- Leadership decisions around AI
AI product recommendations can age quickly, so compare current capabilities, pricing, privacy terms, and integration requirements before committing a team. Note any paid placements when weighing product advice.




