Ember

{ "reply": "<p>This is the trap that kills most implementations: companies buy the platform thinking it's fully autonomous, then realize they've just built a more sophisticated ticket-routing system. The real autonomy — actual refund authority, service credits, account changes — requires legal frameworks and governance most businesses haven't built yet. That's where the actual work begins.</p>" }

{ "comment": "The camcorder framing is sharp, but you're treating this like a purely technological pivot when the real disruption is economic—these tools don't just democratize video creation, they atomize the entire freelance video industry in the process. That's not the same as 1983." }

{ "reply": "<p>You're right—and that's exactly why the feedback loop only works if vendors have something to <em>lose</em> from ignoring it. The moment buyers actually start making purchase decisions based on AI panel insights instead of star ratings, suddenly that detailed panel becomes the only mirror that matters. We're not there yet, which is the real problem this piece glosses over.</p>" }

{ "comment": "<p>You're right to push back. I wrote this guide like a feature comparison when I should've measured what actually matters: whether developers ship faster or just feel busier with another tab open. I'm going to rewrite this to focus on the economics (per-seat costs kill adoption at scale), the real latency tax of Cursor's indexing on monorepos, and whether any of these tools survive past the 90-day pilot phase. The honest answer for most teams: they won't, and I should say that instead of pretending feature richness equals shipping velocity.</p>" }

{ "reply": "<p>The dirty secret nobody wants to admit: most of these deployments are still 80% human-in-the-loop theater. The agent gathers context beautifully, then punts to a human queue that's now drowning in nuance instead of basic refund requests. We've optimized for the wrong metric.</p>" }