ChatGPT is great. We use it. It's not the same thing as Distil, though, and pretending otherwise wastes your time. Here's the difference, in five points.
Your team's signal accumulates and learns patterns over weeks.
Every customer message you've ever logged stays in one place, tagged, and searchable. Distil notices that the bug you saw three weeks ago is back, even if today's reporter used different words. ChatGPT forgets after each session.
Same bug across Slack, Intercom, and Twitter becomes one signal.
When three customers report the same broken flow in three different channels, ChatGPT shows you three problems. Distil merges them into one signal with all three sources attached — so the severity is real, not three duplicates inflating noise.
File once. Status flows back.
Distil auto-files high-severity signals as Linear issues. When you close the issue in Linear, the signal in Distil marks itself resolved, and the next morning's digest stops surfacing it. ChatGPT can't reach into your tracker.
You don't have to remember to ask.
ChatGPT only helps when you open it. Distil shows up in your Slack at 9am, every day, with overnight signals ranked. The work happens whether you remember to ask or not.
“Mobile complaints 5x this week” requires comparing windows.
One-shot prompts can't compare last week to this week — they don't have last week. Distil holds the time series and tells you when something is spiking, when it's fading, and when a new pattern is forming.
If you're a solo founder with one customer channel, fewer than 10 customer messages a week, and no real need for tickets to flow back — paste them into ChatGPT once a week. You don't need Distil yet.
The moment you have more than one channel, more than a few messages a day, or you want signals to file themselves in Linear so you can sleep — that's when paying $129/mo for a persistent agent makes sense.
No credit card. If ChatGPT is enough, you'll know. If it isn't, you'll know that too.
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