Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
The future probably doesn’t belong to the people who use AI the most.
It belongs to the people who can tell when AI is confidently wrong.
That’s a much rarer skill.
#ArtificialIntelligence#Startups#SaaS#BuildInPublic
Hot take:
The biggest AI skill isn’t prompting.
It’s knowing when the AI is wrong.
Most people are optimizing for generation speed.
The best users I know are optimizing for judgment.
#AI#ChatGPTArt#PromptEngineering#Claude#Cursor
This realization is actually what pushed me to build https://t.co/QuLIHbk53D
I noticed most AI mistakes weren’t model problems.
They were thinking problems.
Messy thinking → messy prompts → messy outcomes.
try this today:
before asking AI to write, build, or create anything, ask:
“what is unclear or weak about this idea?”
the answer might be more valuable than the final draft itself
the real AI advantage is not creating more
everyone can create more now
the advantage is thinking clearly enough to create the right thing
clearer idea → better prompt → more useful output
this is the problem i’m building around with Umprompt
not another prompt library
more like a tool for the moment before the prompt
when your idea is still rough and you need to turn it into a clear AI-ready brief
https://t.co/zoGEwnyiGw
AI is great at producing
but it’s even more useful when it helps you avoid producing the wrong thing
wrong post faster
wrong feature faster
wrong strategy faster
wrong email faster
that’s not leverage
that’s speed without direction
my current rule:
don’t ask AI to create the final thing first
ask it to clarify what matters first
goal
audience
risk
context
constraints
what good looks like
what would make this fail
then ask for output
weak ask:
“write a launch plan for this product”
better ask:
“before writing the launch plan, challenge the target user, positioning, pain point, and first acquisition channel. tell me what feels unclear, risky, or unrealistic first.”
that changes the whole answer
same with landing pages
weak ask:
“make this landing page better”
better ask:
“what would make a skeptical visitor leave this page? what is unclear, too generic, missing proof, or not tied to a real pain?”
now AI is helping you think
not just decorate the draft
the better workflow is not:
messy thought → AI output
it’s:
messy thought → clarify the idea → better prompt → better output
that middle step is where most of the value is
and most people skip it
i think a lot of people ask AI for output too early
they open ChatGPT or Claude and immediately go:
write this
fix this
make a plan
improve this
build this
but the idea itself is still messy
so the output is polished…
but not really useful
this happened to me constantly
i’d ask AI to write a post
then realize i didn’t even know the main point yet
i’d ask for a landing page
then realize the buyer wasn’t clear
i’d ask for a launch plan
then realize the positioning was weak
AI didn’t fail
my brief did