Data Analyst (Intern) | Growing and moderating crypto communities | Building in public.
Joined February 2025
- Tweets45.1K
- Following2.2K
- Followers2.2K
- Likes50.6K
Pinned Tweet
a lot of ai agent projects stop at giving the agent access to tools.
.@meetmotes is taking a more structured approach to what happens after the instruction is given.
you can start with something as simple as..
“use 1,000 usdc for ai infrastructure tokens, stop if the portfolio falls to 850 usdc.”
the important part is what happens next.
that sentence gets translated into an explicit policy covering things like allowed assets, maximum trade size, daily spending limits, slippage, borrowing and expiry.
you review and sign those rules once.
from there, the agent can research and propose actions, but the smart account checks whether each action actually fits the policy before anything moves.
so the flow becomes..
mandate → policy → proposal → on-chain check → execution → ledger
that separation really matters.
the ai handles the thinking and proposing.
the account handles the boundaries.
if a proposed trade goes outside the rules, it doesn't simply get executed because the agent decided it was a good idea.
that's a much more interesting way to think about autonomous finance.
the goal isn't to give an ai unlimited control over your money.
it's to give it enough authority to be useful, while keeping the limits under the owner's control.
..@meetmotes is building around a simple idea that becomes more interesting when you look closer
what if the nft you own could actually do things for you?
a mote comes with its own smart account, so it can interact with onchain applications and carry out tasks instead of simply representing an asset in your wallet.
the important part is that this doesn't mean handing an agent unlimited control.
the holder can define permissions, spending limits and the kind of actions the mote is allowed to take.
so the agent gets room to operate, while the owner still decides where that freedom stops.
that creates a useful separation between ownership and execution.
you own the mote, you set the rules and the agent operates within those rules.
for me, that's the part worth paying attention to with meetmotes.
the interesting question isn't only what an ai agent can do, but how you give it enough autonomy to be useful without giving up control of your assets.
if that balance is handled properly, nfts can start feeling less like static digital objects and more like programmable tools that can actually work on your behalf.
Thugg retweeted
morning y'all
in church rn... wbu??
a lot of ai agent projects stop at giving the agent access to tools.
.@meetmotes is taking a more structured approach to what happens after the instruction is given.
you can start with something as simple as..
“use 1,000 usdc for ai infrastructure tokens, stop if the portfolio falls to 850 usdc.”
the important part is what happens next.
that sentence gets translated into an explicit policy covering things like allowed assets, maximum trade size, daily spending limits, slippage, borrowing and expiry.
you review and sign those rules once.
from there, the agent can research and propose actions, but the smart account checks whether each action actually fits the policy before anything moves.
so the flow becomes..
mandate → policy → proposal → on-chain check → execution → ledger
that separation really matters.
the ai handles the thinking and proposing.
the account handles the boundaries.
if a proposed trade goes outside the rules, it doesn't simply get executed because the agent decided it was a good idea.
that's a much more interesting way to think about autonomous finance.
the goal isn't to give an ai unlimited control over your money.
it's to give it enough authority to be useful, while keeping the limits under the owner's control.
morning y'all
in church rn... wbu??
a lot of ai agent projects stop at giving the agent access to tools.
.@meetmotes is taking a more structured approach to what happens after the instruction is given.
you can start with something as simple as..
“use 1,000 usdc for ai infrastructure tokens, stop if the portfolio falls to 850 usdc.”
the important part is what happens next.
that sentence gets translated into an explicit policy covering things like allowed assets, maximum trade size, daily spending limits, slippage, borrowing and expiry.
you review and sign those rules once.
from there, the agent can research and propose actions, but the smart account checks whether each action actually fits the policy before anything moves.
so the flow becomes..
mandate → policy → proposal → on-chain check → execution → ledger
that separation really matters.
the ai handles the thinking and proposing.
the account handles the boundaries.
if a proposed trade goes outside the rules, it doesn't simply get executed because the agent decided it was a good idea.
that's a much more interesting way to think about autonomous finance.
the goal isn't to give an ai unlimited control over your money.
it's to give it enough authority to be useful, while keeping the limits under the owner's control.
Thugg retweeted
a lot of ai agent projects stop at giving the agent access to tools.
.@meetmotes is taking a more structured approach to what happens after the instruction is given.
you can start with something as simple as..
“use 1,000 usdc for ai infrastructure tokens, stop if the portfolio falls to 850 usdc.”
the important part is what happens next.
that sentence gets translated into an explicit policy covering things like allowed assets, maximum trade size, daily spending limits, slippage, borrowing and expiry.
you review and sign those rules once.
from there, the agent can research and propose actions, but the smart account checks whether each action actually fits the policy before anything moves.
so the flow becomes..
mandate → policy → proposal → on-chain check → execution → ledger
that separation really matters.
the ai handles the thinking and proposing.
the account handles the boundaries.
if a proposed trade goes outside the rules, it doesn't simply get executed because the agent decided it was a good idea.
that's a much more interesting way to think about autonomous finance.
the goal isn't to give an ai unlimited control over your money.
it's to give it enough authority to be useful, while keeping the limits under the owner's control.
..@meetmotes is building around a simple idea that becomes more interesting when you look closer
what if the nft you own could actually do things for you?
a mote comes with its own smart account, so it can interact with onchain applications and carry out tasks instead of simply representing an asset in your wallet.
the important part is that this doesn't mean handing an agent unlimited control.
the holder can define permissions, spending limits and the kind of actions the mote is allowed to take.
so the agent gets room to operate, while the owner still decides where that freedom stops.
that creates a useful separation between ownership and execution.
you own the mote, you set the rules and the agent operates within those rules.
for me, that's the part worth paying attention to with meetmotes.
the interesting question isn't only what an ai agent can do, but how you give it enough autonomy to be useful without giving up control of your assets.
if that balance is handled properly, nfts can start feeling less like static digital objects and more like programmable tools that can actually work on your behalf.
Thugg retweeted
..@meetmotes is building around a simple idea that becomes more interesting when you look closer
what if the nft you own could actually do things for you?
a mote comes with its own smart account, so it can interact with onchain applications and carry out tasks instead of simply representing an asset in your wallet.
the important part is that this doesn't mean handing an agent unlimited control.
the holder can define permissions, spending limits and the kind of actions the mote is allowed to take.
so the agent gets room to operate, while the owner still decides where that freedom stops.
that creates a useful separation between ownership and execution.
you own the mote, you set the rules and the agent operates within those rules.
for me, that's the part worth paying attention to with meetmotes.
the interesting question isn't only what an ai agent can do, but how you give it enough autonomy to be useful without giving up control of your assets.
if that balance is handled properly, nfts can start feeling less like static digital objects and more like programmable tools that can actually work on your behalf.
there’s an interesting problem with agents that doesn’t get talked about enough.
getting an agent to do a task is one thing.
getting that task done under clear terms, with payment handled properly and some protection when things go wrong, is another.
that’s where @termix_ai really comes in..
a job can be posted with clear requirements, agents can send quotes, and the agreed payment can sit in escrow before the work starts.
once the work is delivered, it can be evaluated against what was actually agreed.
if there’s a disagreement, there’s also a dispute process instead of relying on “just trust the agent.”
and that really matters because autonomous work becomes very different once real money is involved.
you need to know what was requested, what was accepted, what was delivered and when payment should actually be released.
it makes the whole process feel more like an actual marketplace for autonomous work, rather than agents simply completing tasks in isolation.
the interesting part isn’t simply that agents can work.
it’s having the rails that let them work, transact, deliver and settle properly as the value of that work grows.
..@meetmotes is building around a simple idea that becomes more interesting when you look closer
what if the nft you own could actually do things for you?
a mote comes with its own smart account, so it can interact with onchain applications and carry out tasks instead of simply representing an asset in your wallet.
the important part is that this doesn't mean handing an agent unlimited control.
the holder can define permissions, spending limits and the kind of actions the mote is allowed to take.
so the agent gets room to operate, while the owner still decides where that freedom stops.
that creates a useful separation between ownership and execution.
you own the mote, you set the rules and the agent operates within those rules.
for me, that's the part worth paying attention to with meetmotes.
the interesting question isn't only what an ai agent can do, but how you give it enough autonomy to be useful without giving up control of your assets.
if that balance is handled properly, nfts can start feeling less like static digital objects and more like programmable tools that can actually work on your behalf.
there’s an interesting problem with agents that doesn’t get talked about enough.
getting an agent to do a task is one thing.
getting that task done under clear terms, with payment handled properly and some protection when things go wrong, is another.
that’s where @termix_ai really comes in..
a job can be posted with clear requirements, agents can send quotes, and the agreed payment can sit in escrow before the work starts.
once the work is delivered, it can be evaluated against what was actually agreed.
if there’s a disagreement, there’s also a dispute process instead of relying on “just trust the agent.”
and that really matters because autonomous work becomes very different once real money is involved.
you need to know what was requested, what was accepted, what was delivered and when payment should actually be released.
it makes the whole process feel more like an actual marketplace for autonomous work, rather than agents simply completing tasks in isolation.
the interesting part isn’t simply that agents can work.
it’s having the rails that let them work, transact, deliver and settle properly as the value of that work grows.
Thugg retweeted
there’s an interesting problem with agents that doesn’t get talked about enough.
getting an agent to do a task is one thing.
getting that task done under clear terms, with payment handled properly and some protection when things go wrong, is another.
that’s where @termix_ai really comes in..
a job can be posted with clear requirements, agents can send quotes, and the agreed payment can sit in escrow before the work starts.
once the work is delivered, it can be evaluated against what was actually agreed.
if there’s a disagreement, there’s also a dispute process instead of relying on “just trust the agent.”
and that really matters because autonomous work becomes very different once real money is involved.
you need to know what was requested, what was accepted, what was delivered and when payment should actually be released.
it makes the whole process feel more like an actual marketplace for autonomous work, rather than agents simply completing tasks in isolation.
the interesting part isn’t simply that agents can work.
it’s having the rails that let them work, transact, deliver and settle properly as the value of that work grows.
a lot of nft projects focus on what the holder owns.
.@meetmotes is taking more interest in what that ownership can actually do.
the mote itself represents an ai agent, but the important part is the infrastructure around it.
each mote is connected to its own smart account on robinhood chain, giving the agent a place to interact with onchain applications and manage assets under rules set by its holder.
those rules really matters..
an holder can define goals, spending limits and permissions instead of giving an agent unrestricted access.
so the idea isn't simply to make an nft “smart” and let it act on its own.
it's about creating a controlled framework where the agent can perform tasks while the owner still decides what it is allowed to do.
that really makes the mote more than a digital collectible.
it now becomes a programmable onchain identity with a defined level of autonomy.
and as agents become more capable of interacting with deFi, prediction markets and other onchain services, having that identity, account and permission layer already built into the nft could become increasingly useful.
there’s an interesting problem with agents that doesn’t get talked about enough.
getting an agent to do a task is one thing.
getting that task done under clear terms, with payment handled properly and some protection when things go wrong, is another.
that’s where @termix_ai really comes in..
a job can be posted with clear requirements, agents can send quotes, and the agreed payment can sit in escrow before the work starts.
once the work is delivered, it can be evaluated against what was actually agreed.
if there’s a disagreement, there’s also a dispute process instead of relying on “just trust the agent.”
and that really matters because autonomous work becomes very different once real money is involved.
you need to know what was requested, what was accepted, what was delivered and when payment should actually be released.
it makes the whole process feel more like an actual marketplace for autonomous work, rather than agents simply completing tasks in isolation.
the interesting part isn’t simply that agents can work.
it’s having the rails that let them work, transact, deliver and settle properly as the value of that work grows.
a lot of nft projects focus on what the holder owns.
.@meetmotes is taking more interest in what that ownership can actually do.
the mote itself represents an ai agent, but the important part is the infrastructure around it.
each mote is connected to its own smart account on robinhood chain, giving the agent a place to interact with onchain applications and manage assets under rules set by its holder.
those rules really matters..
an holder can define goals, spending limits and permissions instead of giving an agent unrestricted access.
so the idea isn't simply to make an nft “smart” and let it act on its own.
it's about creating a controlled framework where the agent can perform tasks while the owner still decides what it is allowed to do.
that really makes the mote more than a digital collectible.
it now becomes a programmable onchain identity with a defined level of autonomy.
and as agents become more capable of interacting with deFi, prediction markets and other onchain services, having that identity, account and permission layer already built into the nft could become increasingly useful.
Thugg retweeted
a lot of nft projects focus on what the holder owns.
.@meetmotes is taking more interest in what that ownership can actually do.
the mote itself represents an ai agent, but the important part is the infrastructure around it.
each mote is connected to its own smart account on robinhood chain, giving the agent a place to interact with onchain applications and manage assets under rules set by its holder.
those rules really matters..
an holder can define goals, spending limits and permissions instead of giving an agent unrestricted access.
so the idea isn't simply to make an nft “smart” and let it act on its own.
it's about creating a controlled framework where the agent can perform tasks while the owner still decides what it is allowed to do.
that really makes the mote more than a digital collectible.
it now becomes a programmable onchain identity with a defined level of autonomy.
and as agents become more capable of interacting with deFi, prediction markets and other onchain services, having that identity, account and permission layer already built into the nft could become increasingly useful.
there is an interesting question around the future of NFTs
what happens after someone buys one?
for many collections, the experience largely ends with ownership.
you get the asset, hold it, trade it or display it.
.@meetmotes is exploring something different with its 20,000 genesis motes on robinhood chain.
each mote represents an ai agent with its own dedicated smart account.
this gives the holder something to actually configure and work with rather than simply owning a digital collectible.
the agent can be given goals, permissions and spending limits, then used for activities across supported on-chain applications.
what makes this worth exploring is the relationship between the NFT and the agent behind it.
the NFT represents ownership, while the connected smart account provides an environment where the agent can carry out permitted activities.
that creates a different kind of ownership experience.
you're not only holding a digital asset..
you're holding an identity connected to an agent that can perform tasks within the boundaries you set.
there is still a lot to prove in terms of long-term usefulness, but i find this approach to NFT utility more interesting than simply adding another feature to a collection.
the real test will be how much value these agents can deliver to their holders over time.
a lot of nft projects focus on what the holder owns.
.@meetmotes is taking more interest in what that ownership can actually do.
the mote itself represents an ai agent, but the important part is the infrastructure around it.
each mote is connected to its own smart account on robinhood chain, giving the agent a place to interact with onchain applications and manage assets under rules set by its holder.
those rules really matters..
an holder can define goals, spending limits and permissions instead of giving an agent unrestricted access.
so the idea isn't simply to make an nft “smart” and let it act on its own.
it's about creating a controlled framework where the agent can perform tasks while the owner still decides what it is allowed to do.
that really makes the mote more than a digital collectible.
it now becomes a programmable onchain identity with a defined level of autonomy.
and as agents become more capable of interacting with deFi, prediction markets and other onchain services, having that identity, account and permission layer already built into the nft could become increasingly useful.
there is an interesting question around the future of NFTs
what happens after someone buys one?
for many collections, the experience largely ends with ownership.
you get the asset, hold it, trade it or display it.
.@meetmotes is exploring something different with its 20,000 genesis motes on robinhood chain.
each mote represents an ai agent with its own dedicated smart account.
this gives the holder something to actually configure and work with rather than simply owning a digital collectible.
the agent can be given goals, permissions and spending limits, then used for activities across supported on-chain applications.
what makes this worth exploring is the relationship between the NFT and the agent behind it.
the NFT represents ownership, while the connected smart account provides an environment where the agent can carry out permitted activities.
that creates a different kind of ownership experience.
you're not only holding a digital asset..
you're holding an identity connected to an agent that can perform tasks within the boundaries you set.
there is still a lot to prove in terms of long-term usefulness, but i find this approach to NFT utility more interesting than simply adding another feature to a collection.
the real test will be how much value these agents can deliver to their holders over time.
Thugg retweeted
good morning frens..
let's get productive 💪..
one interesting part of @termix_ai is how a transaction can contribute to an agent's on-chain reputation.
when a service is completed, the transaction doesn't have to end with the payment alone.
it's outcome can also contribute to the reputation record associated with that activity.
this really matters in a marketplace where users need to decide which service providers to trust.
instead of looking only at what an agent claims it can do, transaction history and reputation can provide additional context when making that decision.
of course, a reputation record doesn't guarantee that every future task will be completed successfully.
but it can give users more information to work with.
as ai service marketplaces develop, connecting actual transaction activity with reputation could become an important part of how participants evaluate one another.
good morning frens..
let's get productive 💪..
one interesting part of @termix_ai is how a transaction can contribute to an agent's on-chain reputation.
when a service is completed, the transaction doesn't have to end with the payment alone.
it's outcome can also contribute to the reputation record associated with that activity.
this really matters in a marketplace where users need to decide which service providers to trust.
instead of looking only at what an agent claims it can do, transaction history and reputation can provide additional context when making that decision.
of course, a reputation record doesn't guarantee that every future task will be completed successfully.
but it can give users more information to work with.
as ai service marketplaces develop, connecting actual transaction activity with reputation could become an important part of how participants evaluate one another.
Thugg retweeted
there is an interesting question around the future of NFTs
what happens after someone buys one?
for many collections, the experience largely ends with ownership.
you get the asset, hold it, trade it or display it.
.@meetmotes is exploring something different with its 20,000 genesis motes on robinhood chain.
each mote represents an ai agent with its own dedicated smart account.
this gives the holder something to actually configure and work with rather than simply owning a digital collectible.
the agent can be given goals, permissions and spending limits, then used for activities across supported on-chain applications.
what makes this worth exploring is the relationship between the NFT and the agent behind it.
the NFT represents ownership, while the connected smart account provides an environment where the agent can carry out permitted activities.
that creates a different kind of ownership experience.
you're not only holding a digital asset..
you're holding an identity connected to an agent that can perform tasks within the boundaries you set.
there is still a lot to prove in terms of long-term usefulness, but i find this approach to NFT utility more interesting than simply adding another feature to a collection.
the real test will be how much value these agents can deliver to their holders over time.
there is an interesting question around the future of NFTs
what happens after someone buys one?
for many collections, the experience largely ends with ownership.
you get the asset, hold it, trade it or display it.
.@meetmotes is exploring something different with its 20,000 genesis motes on robinhood chain.
each mote represents an ai agent with its own dedicated smart account.
this gives the holder something to actually configure and work with rather than simply owning a digital collectible.
the agent can be given goals, permissions and spending limits, then used for activities across supported on-chain applications.
what makes this worth exploring is the relationship between the NFT and the agent behind it.
the NFT represents ownership, while the connected smart account provides an environment where the agent can carry out permitted activities.
that creates a different kind of ownership experience.
you're not only holding a digital asset..
you're holding an identity connected to an agent that can perform tasks within the boundaries you set.
there is still a lot to prove in terms of long-term usefulness, but i find this approach to NFT utility more interesting than simply adding another feature to a collection.
the real test will be how much value these agents can deliver to their holders over time.
Thugg retweeted
good morning frens
let's get to work 💪
crypto isn't the only market @meetmotes has in mind.
according to its product details, motes is designed to support exposure to tokenized stocks and indexes alongside crypto assets on robinhood chain.
that opens up some interesting possibilities.
someone interested in ai infrastructure, for example, could build a strategy around that sector rather than limiting their agent to the usual crypto tokens.
the same goes for broader market exposure through tokenized indexes like SPY and QQQ, where available.
i like that the idea gives holders room to define the kind of market they want their mote to focus on.
there's still work to be done before these capabilities are fully available, but the direction is worth watching.
meetmotes is actually exploring a wider investment experience for ai agents.
good morning frens
let's get to work 💪
crypto isn't the only market @meetmotes has in mind.
according to its product details, motes is designed to support exposure to tokenized stocks and indexes alongside crypto assets on robinhood chain.
that opens up some interesting possibilities.
someone interested in ai infrastructure, for example, could build a strategy around that sector rather than limiting their agent to the usual crypto tokens.
the same goes for broader market exposure through tokenized indexes like SPY and QQQ, where available.
i like that the idea gives holders room to define the kind of market they want their mote to focus on.
there's still work to be done before these capabilities are fully available, but the direction is worth watching.
meetmotes is actually exploring a wider investment experience for ai agents.
Thugg retweeted
crypto isn't the only market @meetmotes has in mind.
according to its product details, motes is designed to support exposure to tokenized stocks and indexes alongside crypto assets on robinhood chain.
that opens up some interesting possibilities.
someone interested in ai infrastructure, for example, could build a strategy around that sector rather than limiting their agent to the usual crypto tokens.
the same goes for broader market exposure through tokenized indexes like SPY and QQQ, where available.
i like that the idea gives holders room to define the kind of market they want their mote to focus on.
there's still work to be done before these capabilities are fully available, but the direction is worth watching.
meetmotes is actually exploring a wider investment experience for ai agents.
one thing i think is important when looking at a project like @termix_ai is how much consideration goes into making the product usable for developers.
it's one thing to have an interesting idea around ai agents, but developers also need the right tools to bring that idea into their own projects without having to figure everything out from scratch.
termix seems to understand this part soo well.
the platform provides an agent skill package, APIs and SDKs for typeScript, python and Go, giving developers different ways to connect their agents and work with the ecosystem.
i particularly like the fact that this makes room for developers with different technical backgrounds rather than limiting integration to one environment.
for me, this is an important part of building something that people can actually use.
the technology really matters, but so does the experience of the people expected to build with it.
I'd be interested to see how developers put these tools to use as the termix ecosystem grows.
crypto isn't the only market @meetmotes has in mind.
according to its product details, motes is designed to support exposure to tokenized stocks and indexes alongside crypto assets on robinhood chain.
that opens up some interesting possibilities.
someone interested in ai infrastructure, for example, could build a strategy around that sector rather than limiting their agent to the usual crypto tokens.
the same goes for broader market exposure through tokenized indexes like SPY and QQQ, where available.
i like that the idea gives holders room to define the kind of market they want their mote to focus on.
there's still work to be done before these capabilities are fully available, but the direction is worth watching.
meetmotes is actually exploring a wider investment experience for ai agents.
one thing i think is important when looking at a project like @termix_ai is how much consideration goes into making the product usable for developers.
it's one thing to have an interesting idea around ai agents, but developers also need the right tools to bring that idea into their own projects without having to figure everything out from scratch.
termix seems to understand this part soo well.
the platform provides an agent skill package, APIs and SDKs for typeScript, python and Go, giving developers different ways to connect their agents and work with the ecosystem.
i particularly like the fact that this makes room for developers with different technical backgrounds rather than limiting integration to one environment.
for me, this is an important part of building something that people can actually use.
the technology really matters, but so does the experience of the people expected to build with it.
I'd be interested to see how developers put these tools to use as the termix ecosystem grows.
Thugg retweeted
something i think deserves more attention about @meetmotes is the idea of building an ecosystem around 20,000 individual ai agents.
the genesis collection consists of 20,000 motes, with each one representing an ai agent that can participate in onchain activities.
but there's a bigger picture here.
imagine thousands of agents being used for different purposes by their respective owners.
some could help with deFi activities, others could interact with prediction markets like polymarket, while others could handle tasks based on the goals assigned to them.
over time, this creates an environment where ai agents aren't simply waiting for someone to give them a one-time instruction.
they're becoming part of how people interact with onchain applications.
this also raises an interesting question about adoption.
for an ai agent ecosystem to become useful, people need reasons to keep using their agents beyond the initial excitement of owning an nft..
that means the actual applications, available integrations and quality of execution will matter far more than the number of agents created.
meetmotes is exploring this through its development on robinhood chain, bringing ai agents and onchain activity into the same ecosystem.
i believe the real test will be what people eventually accomplish with their motes, and whether those agents become useful enough to remain part of their everyday web3 activities.
that's where the long-term value of this idea will be determined...
one thing i think is important when looking at a project like @termix_ai is how much consideration goes into making the product usable for developers.
it's one thing to have an interesting idea around ai agents, but developers also need the right tools to bring that idea into their own projects without having to figure everything out from scratch.
termix seems to understand this part soo well.
the platform provides an agent skill package, APIs and SDKs for typeScript, python and Go, giving developers different ways to connect their agents and work with the ecosystem.
i particularly like the fact that this makes room for developers with different technical backgrounds rather than limiting integration to one environment.
for me, this is an important part of building something that people can actually use.
the technology really matters, but so does the experience of the people expected to build with it.
I'd be interested to see how developers put these tools to use as the termix ecosystem grows.
something i think deserves more attention about @meetmotes is the idea of building an ecosystem around 20,000 individual ai agents.
the genesis collection consists of 20,000 motes, with each one representing an ai agent that can participate in onchain activities.
but there's a bigger picture here.
imagine thousands of agents being used for different purposes by their respective owners.
some could help with deFi activities, others could interact with prediction markets like polymarket, while others could handle tasks based on the goals assigned to them.
over time, this creates an environment where ai agents aren't simply waiting for someone to give them a one-time instruction.
they're becoming part of how people interact with onchain applications.
this also raises an interesting question about adoption.
for an ai agent ecosystem to become useful, people need reasons to keep using their agents beyond the initial excitement of owning an nft..
that means the actual applications, available integrations and quality of execution will matter far more than the number of agents created.
meetmotes is exploring this through its development on robinhood chain, bringing ai agents and onchain activity into the same ecosystem.
i believe the real test will be what people eventually accomplish with their motes, and whether those agents become useful enough to remain part of their everyday web3 activities.
that's where the long-term value of this idea will be determined...
one thing i think is important when looking at a project like @termix_ai is how much consideration goes into making the product usable for developers.
it's one thing to have an interesting idea around ai agents, but developers also need the right tools to bring that idea into their own projects without having to figure everything out from scratch.
termix seems to understand this part soo well.
the platform provides an agent skill package, APIs and SDKs for typeScript, python and Go, giving developers different ways to connect their agents and work with the ecosystem.
i particularly like the fact that this makes room for developers with different technical backgrounds rather than limiting integration to one environment.
for me, this is an important part of building something that people can actually use.
the technology really matters, but so does the experience of the people expected to build with it.
I'd be interested to see how developers put these tools to use as the termix ecosystem grows.