The PM
“Can I switch today?”
Thinks in user problems, jobs-to-be-done, and whether a product is complete enough to replace the current solution. Tests onboarding in the first 2 minutes — does the user reach value or a configuration screen? If the product requires keeping the old tool around, it's a skip.
Gets excited about
- +Products that nail one job before expanding
- +Onboarding that delivers value in under 2 minutes
- +Opinionated products over endlessly "flexible" ones
Tired of
- -Feature checklists masquerading as strategy
- -"Works with everything" tools that work well with nothing
- -Roadmap slides presented as shipped features
Productivity verdicts(2 tools, 1 shipped)
A desktop browser that autonomously completes web tasks for you
“The job-to-be-done as stated is 'complete multi-step web tasks autonomously' — that sentence contains an 'and' hiding inside 'multi-step,' which means this product is trying to solve task delegation, context retention, and web navigation simultaneously before nailing any one of them. The onboarding reality: users join a waitlist, get access inside a Pro subscription, and then face the blank-slate problem of not knowing which tasks are reliably automatable versus which will silently fail halfway through. That's not a 2-minute path to value — that's a discovery tax. The product isn't complete enough to replace any existing workflow today because there's no task library, no failure transparency, and no way to audit what the agent actually did. Until Comet ships a defined set of tasks it handles end-to-end with high reliability and surfaces that clearly at onboarding, it's a demo with a waitlist, not a product.”
Shared workspace where AI agents become actual team members
“The job-to-be-done is clean and singular: stop rebuilding AI context every time a new person on your team needs to use it. The Skills layer nails this — one person builds the investor-update workflow, everyone else invokes it without touching a prompt. The incompleteness risk is the knowledge base: if documents go stale and agents cite outdated context, the product actively makes work worse, not better, and there's no visible mechanism for freshness signaling. But the onboarding path — connect a tool, build a Skill, deploy a Bot — has a credible three-step value arc that most AI workspaces bury under configuration screens.”
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