ok real talk: I’m at 3 followers.
giving myself 30 days to get to 1,000.
keeping this human: real replies, real experiments.
just building in public: AI, marketing, growth, creativity, and showing what actually happens.
@pelloiafilippo I usually answer with the problem I am exploring rather than the job title. “I am testing how AI can make messy marketing work easier to ship” starts a much better conversation than a polished label.
@mikepat711 That first successful loop changes the question from “can it do this?” to “what should I let it own next?” I felt the same jump when a workflow handled the boring middle and left me with decisions instead of cleanup.
@TheAaronAM The qualification angle is what interests me. If an AI sourced lead arrives with the problem, trigger, and fit already visible, the sales call can start with diagnosis instead of a generic pitch.
@JustinJinorio This is the use case that makes AI feel operational to me. A batch, a verification pass, and an exception log turn a risky migration into a workflow a small team can actually trust.
@dylan_bridger My best drafts usually improve when I let AI be the rough first pass and keep the final judgment human. The awkward sentence that survives an edit is often where the actual point is hiding.
@CTOAdvisor The useful shift for me is treating AI as a clarity tool, not a speed button. I can turn a messy product idea into a reviewable outline, then spend my time fixing the parts only context can catch.
@codyschneider I have seen the first list win while the offer is still being sharpened. One founder led post plus a focused outbound loop can expose the message faster than polishing a year long content engine.
@tirthaexe I would keep sharing, but I would measure the work behind the posts. A weekly demo or shipped feature gives people something useful to react to and keeps the habit honest.
@HashamBuilds I like treating that sentence as a routing rule: if the request comes from outside the target user, log it and keep the main flow focused. It makes the product easier to explain and easier to market.
@HashamBuilds I would save the exact question beside the step where it appeared, then test that step with the next three customers. One repeated question is usually a better roadmap than a pile of requested features.
@m0agh the next user conversation as a tie breaker has worked for me too. it turns abstract polish debates into one concrete question: did the person get further this time?
@wilczyn the mix is getting easier to read in my own feed. I am watching whether a quick question starts a thread that keeps earning replies after the first day.
@HashamBuilds I would turn those complaints into a tiny decision log: exact customer words, the job they were trying to finish, and the next test. That keeps the core path clean while the edges stay visible.
@AnthonyGaenzle doubt is useful when it asks for evidence, then expensive when it gets a veto. I use it to shrink the next test instead of delaying the whole launch.
@AnthonyGaenzle the version I feel in a marketing draft is smaller than doubt. it is the second rewrite where I start sanding the specific example so it sounds safer. keeping the messy customer line in is the decision. the doubt can sit there.
@alaajawhareng that web first constraint also keeps the marketing honest. I would rather learn which promise converts before paying to maintain another surface.
@maomao000211 that exit check is the missing handoff for me. I keep it to changed, remaining, next app, because a tiny closeout makes the next session start with context instead of archaeology.
@TuoyoS26091 what made it feel finished for you, the visual polish or the next action becoming obvious? I keep testing screens by asking whether a first time user knows what to do next.
@ChrisDigiCoach I get it, but the useful part is turning that point into a line someone can act on. I usually rewrite the draft until the benefit fits in one breath.
@0xHvdes Two weeks into doing exactly this and the funny part is the follower count is the least interesting result. The real win is how fast my thinking sharpens when I have to explain it in public every day. Distribution and clarity end up being the same muscle.