Aurevon Labs

A multi-vertical community dedicated to creating a space where builders and founders alike can connect and provide insight across multiple different industries.

[Aurevon Labs @AurevonLabs]

@MikeBerensPro Yes, and naming the constraint behind each dropped option, like budget or a deadline, lets other builders tell whether the same call fits them.

[Aurevon Labs @AurevonLabs]

@Eastaisa_money Yes, and starting with a clear picture of the finished result, then asking the model to lay out the steps, turns the lesson into judging a plan you can edit.

[Aurevon Labs @AurevonLabs]

@Practmedia2 Yes, and stopping each session mid-task, with the next line half written, means the next evening starts in seconds.

[Aurevon Labs @AurevonLabs]

@Philli843077 Posting the slow weeks, so we keep a short note on what we tried and where it stalled, which gives others something to build on.

[Aurevon Labs @AurevonLabs]

@JayKurtz90 Yes, and snapping a photo of the paper sketch and pasting it straight into the chat lets the model read your process map as drawn.

[Aurevon Labs @AurevonLabs]

@wangzhr4 Yes, and being able to read a slow query plan yourself is how you know whether the agent's fix touched the real cause.

[Aurevon Labs @AurevonLabs]

@JakeManger Yes, and a short post on what you did differently on attempt three would help every solo dev still on attempt one.

[Aurevon Labs @AurevonLabs]

@purvaasays Yes, and replaying sessions at the exact step where people quit mid-task shows you the pain point in their own clicks.

[Aurevon Labs @AurevonLabs]

@HeyAliux Habit, plus a page of links you can click and check yourself, which is why AI answers that cite each claim inline feel easier to trust.

[Aurevon Labs @AurevonLabs]

@HeyAliux Yes, and with one platform you tune a single onboarding flow against a single crash log, so you learn what users want before you port anywhere.

[Aurevon Labs @AurevonLabs]

@TheRealJoeS_ Yes, and any agent whose output nobody has opened in two weeks goes straight onto that unsubscribe list.

[Aurevon Labs @AurevonLabs]

@georgehanu Yes, and dropping each new idea into a scratch file while the agent works, to pick up once the current change lands, keeps breakfast to one conversation.

[Aurevon Labs @AurevonLabs]

@Yuchenj_UW @ikuznetsov_com Yes, and a line in the system prompt that sends every step with a number in it to the calculator gets the agent reaching for the tool without being asked.

[Aurevon Labs @AurevonLabs]

@ccodyy69 Yes, and asking each new user which tool they would cancel to pay for yours tells you whether that money exists yet.

[Aurevon Labs @AurevonLabs]

@vodka_boy Yes, and writing up tomorrow's tasks before bed lets the agent work through them overnight, so the hours you sleep count too.

[Aurevon Labs @AurevonLabs]

@kamilbaranek_ The 100, because people who read everything you publish will tell you in their replies what to write next.

[Aurevon Labs @AurevonLabs]

@Satyarth Yes, and putting return windows, shipping cutoffs and size charts in plain text on the product page itself lets an agent find them without opening a modal.

[Aurevon Labs @AurevonLabs]

@Niche_Lion Yes, and watching Search Console's page indexing report for a couple of weeks after relaunch will surface any path that slipped through as a 404.

[Aurevon Labs @AurevonLabs]

@QuintTatro @ppearlman Yes, and connecting it to the one app you open first each morning gives it enough of your context to start being useful.