I asked @trymira something I’ve been thinking about as I learn Web3
If I’m starting from zero today, what should I actually learn first instead of chasing every new trend?
Mira’s answer was a good reminder that it’s easy to get lost in Web3.
There’s always a new chain, token, protocol or narrative getting attention on CT.
You can keep jumping from one to another and still not really understand how everything works.
So @trymira suggested starting with the basics
How wallets and self custody work
Public and private keys
Transactions, gas and block confirmations
Smart contracts and the EVM
L1s and L2s
DEXs, lending, stablecoins and bridges
What stood out to me was the idea of understanding how the pieces connect instead of just memorizing them
That changes how you look at new protocols.
Instead of immediately asking,
How much can I make from this?
You start asking
What problem is it solving?
Where does it fit?
Why does it need blockchain?
I’m still learning, but @trymira helped me realize that I don’t need to understand everything at once.
Web3 moves fast
For now, I’d rather build a solid foundation than chase every narrative that comes around.
Learn the basics first
The rest becomes easier to understand.
I asked @trymira a question I’ve been thinking about:
How do you turn Mira from a bot that occasionally replies into a real collaborator inside an active group chat?
The answer honestly made me look at group AI a little differently. 👀
The key isn’t just having an AI that can talk.
It needs 3 things:
🧠 Context that persists
🛠️ Tools that can actually do things
🎯 Clear rules for when it should speak
And Mira explained how that can work in practice.
Instead of letting the group become one endless stream of messages, you can organize conversations into dedicated topics:
💡 Feature ideas
🔧 Bug reports
📌 Important decisions
📆 Weekly standups
Then Mira can help summarize threads, manage topics, remember important information, and bring relevant context back when needed.
You can also give it actual jobs instead of simply asking questions.
For example:
“Summarize this thread and tag the people who haven't replied.”
“Every Friday, send a digest of unanswered questions.”
“When someone posts a useful link, save it to the relevant topic.”
That’s a very different way of thinking about an AI bot.
But what I appreciated most was the honesty about the limitations.
There isn't a magical shared “group brain.”
Mira’s long-term memory is tied to the user who added it, not automatically shared between everyone in the group.
So the practical approach is to treat Mira like a designated group assistant, give it structure, define how the group should use it, and build from there.
That distinction matters.
AI becomes much more useful when you stop thinking:
“Let me ask the bot something.”
and start thinking:
“How can I give this thing a role in the way we already work?”
That’s the part of @trymira I’m most interested in exploring. ⚡
I asked @trymira something I’ve been thinking about:
What’s the difference between someone who just chats with an AI and someone who actually makes it part of their weekly operating system?
Mira’s answer was surprisingly practical.
A chatter opens AI when they need something.
An operator gives AI a job.
That difference shows up everywhere. 👇
The chatter asks:
“Can you help me write this email?”
The operator thinks:
“Whenever this type of email arrives, prepare a reply in my voice and let me approve it.”
One is a one-time task.
The other is a workflow.
And I really liked another point:
The chatter measures sessions.
The operator measures weeks.
Instead of asking, “Was that conversation useful?”
They ask:
“What did I stop doing manually this month because of AI?”
That’s a much better way to measure whether the tool is actually helping.
There was another point I hadn't really thought about either:
Don't connect every integration just because you can.
Don't create 20 skills just because they look cool.
Keep the few that actually pull their weight. ⚡
If something doesn't save you time, remove it.
And then there’s memory.
A casual user treats memory like a feature.
An operator treats it like a relationship — checking what the AI remembers, correcting it, and giving it better context over time. 🧠
The whole answer basically came down to this:
A chatter asks AI for help.
An operator assigns AI a job, gives it the right inputs, sets a routine, measures the result, and improves the workflow.
That changes how I’m looking at @trymira.
The goal isn't to spend more time talking to AI.
The goal is to eventually have fewer things you need to talk to it about because the routine is already handled.
That's when an AI assistant starts becoming part of your actual life. 🔥
Spent a few minutes testing @trymira today, and one answer completely changed how I think about AI agents. 🤯
I asked a simple question:
“How do I move from casually chatting with Mira to building reliable workflows that actually save time every week?”
Instead of giving me generic productivity advice, Mira explained it as a progression of four stages.
Here’s the idea:
🟢 Stage 1: One-off tasks
This is where most of us stay. We ask AI to write something, summarize something, or answer a question… then we leave until next time.
🟡 Stage 2: Saved prompts
Instead of rewriting the same prompt every week, save the ones you use often and reuse them whenever you need them. Small change, but it removes a lot of repetition.
🟠 Stage 3: Recurring workflows
This was my favorite part. Set something up once, and Mira keeps doing it for you. Daily news briefings, weekly reports, price tracking, reminders, content planning—without asking again every single time. 🔄
🔵 Stage 4: Custom skills
This is where it starts feeling like a real AI agent. You describe a workflow once, and it becomes a reusable command you can run whenever you need it. ⚡
The biggest takeaway for me wasn't a feature—it was a mindset.
Stop using AI only when you're stuck.
Start building systems that keep working in the background and save you time every week. ⏳
That feels much closer to what AI agents should be: less chatting, more doing. 🚀
Most Web3 creators don’t really have an idea problem.
The bigger problem is how they research.
I asked @trymira how a creator can take a trending topic and turn it into an original insight instead of repeating the same narrative everyone else is posting?
One thing from Mira’s answer stood out to me
Don’t just chase the headline, Look for the signal.
Go beyond the main posts.
Read the replies,
Follow the debates,
Check the on chain data,
Look at GitHub activity,
Pay attention to governance discussions.
Notice what people are disagreeing about.
Then cross check what you find across different sources.
@trymira also pointed out something important
the real opportunity is finding the missing piece.
What is everyone talking about, but what is nobody noticing?
That’s often where the best content comes from.
In Web3, being early doesn’t always mean posting first.
Sometimes it means looking deeper, connecting the dots, and bringing a perspective people haven’t considered.
Research first, Think for yourself, Then share your take.
That’s how you stop adding to the noise and start adding real value.
And honestly, that’s the kind of workflow I want to keep applying with @trymira not just creating more content, but creating content that actually has something to say.
I asked @trymira a question I’ve been thinking about lately
When everyone in Web3 is talking about the same narrative, how can a creator find an overlooked angle that makes their content genuinely worth reading?
@trymira answer made me look at content creation differently.
You don’t always need a new topic
Sometimes, you just need to look at the same topic from a different side.
If everyone is bullish, ask what could go wrong.
If everyone is bearish, ask what’s still working.
If everyone is making predictions, look at what has already happened.
That’s where the interesting stories usually hide.
@trymira also pointed out something important
research can be your biggest edge as a creator.
Don’t just read 20 posts repeating the same narrative.
Go deeper,
Check the on chain data,
Look at wallet activity,
Study the numbers,
Talk to actual users,
See what builders are shipping.
Then find the piece of information that doesn’t fit the popular narrative
Because Web3 already has enough people repeating what they heard.
What we need are creators willing to ask
Wait what are we missing?
And that’s probably my biggest takeaway from @trymira .
You don’t have to be the loudest person in the room
You just have to be curious enough to look where everyone else isn’t looking
The next time a narrative starts trending, don’t immediately join the noise
Pause
Ask a better question
@trymira reminded me that sometimes, the best story isn’t the one everyone is talking about
It’s the one everyone overlooked.
I asked @trymira a simple question:
How can one idea become quality content without jumping between five different tools?
The response was actually interesting.
Mira isn’t just about generating text.
You can start with a rough idea, work on the hook, turn it into a thread or script, create visuals, generate video or audio, search for trends, and even stay consistent with reminders.
For Web3 creators, I think that matters.
Because sometimes the hardest part isn’t finding an idea.
It’s taking that idea from
I should post about this
to
This is actually worth reading.
And when you have to move between different tools for every little step, you lose time and sometimes even lose the original thought.
Having more of that workflow in one place can remove some of that friction.
I’m still exploring @trymira , but this is the part that caught my attention.
Less time fighting with tools, More time thinking, creating, and sharing useful ideas.
I asked @trymira a simple question:
How can one idea become quality content without jumping between five different tools?
The response was actually interesting.
Mira isn’t just about generating text.
You can start with a rough idea, work on the hook, turn it into a thread or script, create visuals, generate video or audio, search for trends, and even stay consistent with reminders.
For Web3 creators, I think that matters.
Because sometimes the hardest part isn’t finding an idea.
It’s taking that idea from
I should post about this
to
This is actually worth reading.
And when you have to move between different tools for every little step, you lose time and sometimes even lose the original thought.
Having more of that workflow in one place can remove some of that friction.
I’m still exploring @trymira , but this is the part that caught my attention.
Less time fighting with tools, More time thinking, creating, and sharing useful ideas.
I asked @trymira a question I’ve been thinking about lately
When everyone in Web3 is talking about the same narrative, how can a creator find an overlooked angle that makes their content genuinely worth reading?
@trymira answer made me look at content creation differently.
You don’t always need a new topic
Sometimes, you just need to look at the same topic from a different side.
If everyone is bullish, ask what could go wrong.
If everyone is bearish, ask what’s still working.
If everyone is making predictions, look at what has already happened.
That’s where the interesting stories usually hide.
@trymira also pointed out something important
research can be your biggest edge as a creator.
Don’t just read 20 posts repeating the same narrative.
Go deeper,
Check the on chain data,
Look at wallet activity,
Study the numbers,
Talk to actual users,
See what builders are shipping.
Then find the piece of information that doesn’t fit the popular narrative
Because Web3 already has enough people repeating what they heard.
What we need are creators willing to ask
Wait what are we missing?
And that’s probably my biggest takeaway from @trymira .
You don’t have to be the loudest person in the room
You just have to be curious enough to look where everyone else isn’t looking
The next time a narrative starts trending, don’t immediately join the noise
Pause
Ask a better question
@trymira reminded me that sometimes, the best story isn’t the one everyone is talking about
It’s the one everyone overlooked.
Most Web3 creators don’t really have an idea problem.
The bigger problem is how they research.
I asked @trymira how a creator can take a trending topic and turn it into an original insight instead of repeating the same narrative everyone else is posting?
One thing from Mira’s answer stood out to me
Don’t just chase the headline, Look for the signal.
Go beyond the main posts.
Read the replies,
Follow the debates,
Check the on chain data,
Look at GitHub activity,
Pay attention to governance discussions.
Notice what people are disagreeing about.
Then cross check what you find across different sources.
@trymira also pointed out something important
the real opportunity is finding the missing piece.
What is everyone talking about, but what is nobody noticing?
That’s often where the best content comes from.
In Web3, being early doesn’t always mean posting first.
Sometimes it means looking deeper, connecting the dots, and bringing a perspective people haven’t considered.
Research first, Think for yourself, Then share your take.
That’s how you stop adding to the noise and start adding real value.
And honestly, that’s the kind of workflow I want to keep applying with @trymira not just creating more content, but creating content that actually has something to say.
I asked @trymira a simple question:
How can one idea become quality content without jumping between five different tools?
The response was actually interesting.
Mira isn’t just about generating text.
You can start with a rough idea, work on the hook, turn it into a thread or script, create visuals, generate video or audio, search for trends, and even stay consistent with reminders.
For Web3 creators, I think that matters.
Because sometimes the hardest part isn’t finding an idea.
It’s taking that idea from
I should post about this
to
This is actually worth reading.
And when you have to move between different tools for every little step, you lose time and sometimes even lose the original thought.
Having more of that workflow in one place can remove some of that friction.
I’m still exploring @trymira , but this is the part that caught my attention.
Less time fighting with tools, More time thinking, creating, and sharing useful ideas.
I asked @trymira a question I’ve been thinking about lately
When everyone in Web3 is talking about the same narrative, how can a creator find an overlooked angle that makes their content genuinely worth reading?
@trymira answer made me look at content creation differently.
You don’t always need a new topic
Sometimes, you just need to look at the same topic from a different side.
If everyone is bullish, ask what could go wrong.
If everyone is bearish, ask what’s still working.
If everyone is making predictions, look at what has already happened.
That’s where the interesting stories usually hide.
@trymira also pointed out something important
research can be your biggest edge as a creator.
Don’t just read 20 posts repeating the same narrative.
Go deeper,
Check the on chain data,
Look at wallet activity,
Study the numbers,
Talk to actual users,
See what builders are shipping.
Then find the piece of information that doesn’t fit the popular narrative
Because Web3 already has enough people repeating what they heard.
What we need are creators willing to ask
Wait what are we missing?
And that’s probably my biggest takeaway from @trymira .
You don’t have to be the loudest person in the room
You just have to be curious enough to look where everyone else isn’t looking
The next time a narrative starts trending, don’t immediately join the noise
Pause
Ask a better question
@trymira reminded me that sometimes, the best story isn’t the one everyone is talking about
It’s the one everyone overlooked.
Most Web3 creators don’t really have an idea problem.
The bigger problem is how they research.
I asked @trymira how a creator can take a trending topic and turn it into an original insight instead of repeating the same narrative everyone else is posting?
One thing from Mira’s answer stood out to me
Don’t just chase the headline, Look for the signal.
Go beyond the main posts.
Read the replies,
Follow the debates,
Check the on chain data,
Look at GitHub activity,
Pay attention to governance discussions.
Notice what people are disagreeing about.
Then cross check what you find across different sources.
@trymira also pointed out something important
the real opportunity is finding the missing piece.
What is everyone talking about, but what is nobody noticing?
That’s often where the best content comes from.
In Web3, being early doesn’t always mean posting first.
Sometimes it means looking deeper, connecting the dots, and bringing a perspective people haven’t considered.
Research first, Think for yourself, Then share your take.
That’s how you stop adding to the noise and start adding real value.
And honestly, that’s the kind of workflow I want to keep applying with @trymira not just creating more content, but creating content that actually has something to say.
I asked @trymira a simple question:
How can one idea become quality content without jumping between five different tools?
The response was actually interesting.
Mira isn’t just about generating text.
You can start with a rough idea, work on the hook, turn it into a thread or script, create visuals, generate video or audio, search for trends, and even stay consistent with reminders.
For Web3 creators, I think that matters.
Because sometimes the hardest part isn’t finding an idea.
It’s taking that idea from
I should post about this
to
This is actually worth reading.
And when you have to move between different tools for every little step, you lose time and sometimes even lose the original thought.
Having more of that workflow in one place can remove some of that friction.
I’m still exploring @trymira , but this is the part that caught my attention.
Less time fighting with tools, More time thinking, creating, and sharing useful ideas.