Use cases by role
Concrete playbooks for the job you actually do.
AI for sales reps: getting 5 hours back every week
Prospect research, email drafting, call summaries, CRM auto-updates. Real tools and the prompts that work.
AI for marketers: from idea to campaign in a day
Content drafting with brand voice, ad variations, audience research, repurposing. Surfer, Copy.ai, Anyword workflows.
AI for solo founders: doing the work of a small team
Landing pages, support, design, customer research, code. Treating AI as your team rather than your tool.
AI for HR: hiring, onboarding, performance reviews
Sourcing candidates, screening at scale, drafting offers, structuring reviews. The role-specific stack and prompts.
AI for customer success: spotting churn before it happens
Health scoring from call recordings, QBR prep, knowledge-base search, ticket triage. Less reactive, more strategic.
AI for product managers: PRDs, research, roadmaps
Drafting PRDs from rough ideas, synthesizing user interviews, building roadmap narratives. Where AI helps and where it actively misleads.
AI for designers: from blank canvas to brand-consistent assets
Image generation workflows, mockups, mood boards, brand systems. When to use Midjourney vs Recraft vs Figma AI.
AI for engineers: using it as a senior on an existing team
Not greenfield vibe coding. Code review, refactor planning, debugging, learning a new codebase. The patterns that actually work in a team.
AI for operations: docs, vendors, and processes that do not drift
Generating SOPs from chaos, summarizing vendor contracts, building process maps. The unsexy work AI is genuinely good at.