most creators pick AI tools completely backwards
they ask "what's the best AI tool right now" instead of "what's the actual task in front of me"
here's the decision rule that fixes it:
1. name the task in one sentence — not a vague goal, the actual task
2. list the exact output you need: format, length, tone
3. check if a tool you already use covers 80% of that
4. only look for something new if the gap is real, not imagined
5. test it on one real task before you adopt it fully
popularity tells you what worked for someone else's task
it tells you nothing about yours
before:
6 tabs open
3 different AI tools
switching between all of them just to finish one outline
after:
one tool, one job
Grok for research
Manus for build-and-fix work
what actually changed:
i stopped treating every tool like it should do everything
same output.
less switching.
less mental tax for zero extra effort
@MarcelVelica yeah that’s the hardest part right now.
building something new feels impressive, but editing and improving what’s already there is still messy with most agents
i picked Manus expecting it to search the internet and actually use a computer
it does that part well — i've used it to build websites and apps
here's where it breaks down for me:
when i give it instructions to fix something on a site i already built, it often just doesn't get it right
i'm still figuring out how to instruct it properly
Grok for research, Manus for building — and right now i'm stuck on the gap in between
no fix yet. just naming the friction instead of quietly switching tools again
@ottleyai governments are moving for a reason. most people won’t switch everything at once, but starting with email and browser is usually enough to feel the difference.
@ArifAIHQ Google keeps dropping free tools and people just keep adding them to the pile.
most will save this list and still only use Gemini for basic questions.
the ones who get value pick 2-3 and actually build a workflow around them
@TheAIColony prompt lists like this are useful but most people will save them and never use more than 1 or 2.
the ones who actually get better are the ones who turn 2-3 of these into real weekly habits instead of collecting more
@PrinceKu945 this is the part most people still don’t get.
they keep trying to write the perfect prompt while the people moving ahead are busy building the systems around the model.
context, tools, feedback loops… that’s where the real jump happens
@rubenhassid the computer use part is the real reason people are switching back.
once the model can actually open files, edit, and finish tasks instead of just talking about them, the gap becomes obvious
curious how long before Claude matches that level of actual computer control
@AlexRiad84837 50 websites looks impressive until you realize most people will save this and never open half of them again.
the ones who actually get value just pick 4-5 that solve real problems they have every week and ignore the rest
@daniel_brook_ai these lists are everywhere now but the last line is the only part that actually matters.
you don’t need 10.
you need 2-3 that you actually open every day and get real work done with.
everything else just sits in bookmarks collecting dust
genuine question for anyone running more than one AI tool right now:
when you tell it to fix or edit something it already built — does it actually get it right?
or do you end up doing it manually anyway?
trying to figure out if this is a prompting problem or an actual tool limitation
reply with what you're seeing
@AnnatarXBT this is where it starts getting real.
most people are still using AI like a smart assistant while a few are quietly replacing entire teams with systems.
$100k with zero employees isn’t a flex anymore, it’s just the new baseline for people who actually build the workflows
@Grow_withAI this is the better way to think about it. trying to force one tool to do the entire process usually creates more mess.
clear stages + the right tool for each step ends up faster than chasing a single model that does everything
@AlphaZayn_Ai lists like this are everywhere. the hard part isn’t finding the sites, it’s picking one and actually sticking with it long enough to make money
most people save 20 and never fully use 1
@TheAIColony these examples are wild. the jump from single prompts to full systems that run for hours is real.
most people will watch these and still go back to asking basic questions instead of building something that keeps working without them
@PrinceKu945 this is the better use of an hour. most people stay stuck learning random tools while the people building the models are explaining the bigger direction.
watching this kind of talk actually changes how you think about what to build next
@samcoderx exactly. 50 tools looks impressive but most people will save this and still only use 3-4 of them properly.
the real skill is knowing which few actually remove friction from your work and ignoring the rest