A good AI agent needs more than a clever response. It needs a clear job to do.

That’s an important part of exploring @ama_protocol for me. The real interest is in how builders can turn an idea into an agent with a practical purpose.
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The part of agentic finance I find worth watching is what happens when an AI can do more than suggest a trade or explain a market.

@ama_protocol is building infrastructure for agents to carry out financial tasks. 🧵
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Replying to @mdaib13
@ama_protocol 2/3
But giving agents more responsibility also means thinking carefully about privacy, execution and how their actions are verified.
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Replying to @mdaib13
@ama_protocol 3/3
That combination is what could make autonomous finance more useful in practice. The technology has to do the work, not just talk about it.
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Testing the Multi-Chain DeFi Agent on AMA Hub.

I wanted to see how it handles DeFi questions, compares cross-chain options, and explains the steps before a transaction.

Building an agent is one thing. Seeing how it works in practice is what matters.

@ama_protocol.
Deployed your AI Agent on AMA Hub?

Uploaded your agent from
@ChatGPT @AnthropicAI ?

WHY? HOW?
Show don't tell!

CREATE a video:
→ Demonstrate your agent in action
→ Explain WHY & HOW you built it
→ Describe your user experience

Show your agent on all chains like @Base @solana @RobinhoodCrypto
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Buhari Jibrin retweeted
The most powerful storytelling engine isn't AI. It's imagination.

AI should help bring it to life.

Meet OptimAI Story Studio: turn an idea into illustrated storybooks, manga or comics—with Creative Agents, recurring characters and narration.

💛 optimai.studio/story
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Me thinking AI agents will handle everything for me 😂

Then I realize I still need to learn, explore and understand how they work.

#AmadeusMeme
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Keeping a useful strategy private is important in trading. Automating that strategy shouldn't mean giving away the edge behind it.

@ama_protocol is building for this challenge through confidential computing.
🧵
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Replying to @mdaib13
@ama_protocol 2/3
Trusted Execution Environments can isolate computation, helping protect sensitive data while an agent performs its assigned work.
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Replying to @mdaib13
@ama_protocol 3/3
It's a practical problem for agentic finance, and one worth following as these systems move beyond experiments.
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My biggest interest in AI agents is the gap between having an idea and making it work in practice.

Exploring @ama_protocol gives me another way to think about that process, especially when deciding what an agent should actually accomplish.
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Quantum-resistant security may not feel urgent to every blockchain user today, but infrastructure takes time to prepare. As Italy moves forward with quantum computing, @dac_chain’s message is clear: thinking ahead now can help protect digital systems in the future.

#DAC.
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Buhari Jibrin retweeted
For builders: we're developing OptimAI Creative Agents as an open-source toolkit.

Explore the templates, customize creative recipes, or contribute new capabilities.

The next creative breakthrough might be what we build together.
github.com/OptimaiNetwork/

Keep building.
The best Creative Agent might be one we haven’t built yet. It might be yours.

💡optimai.studio/agents

Meet OptimAI Creative Agents: image, video, sound, 3D & motion tools, plus an open-source SDK to extend them.

Github: github.com/OptimaiNetwork…

Your imagination shouldn’t stop at our feature list.
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An AI agent may produce a convincing answer, but financial systems need more than convincing answers. They need execution that can be trusted.

That's a key area to watch with @ama_protocol.
1/3 🧵
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Replying to @mdaib13
@ama_protocol 2/3
Verified computation and deterministic execution are relevant because they help make the process more consistent and easier to check.
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Replying to @mdaib13
@ama_protocol 3/3
As more financial activity becomes automated, the infrastructure behind each action will matter just as much as the model itself.
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.@nodiens Market conditions can differ across top crypto assets. Nodiens tracks 24h Market Intelligence readings side by side, helping users compare signals across BTC, ETH, USDT and XRP instead of judging the market by price alone. Better data, broader perspective.
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Not every useful AI idea needs to start with a big vision.

Sometimes it starts with one annoying task you wish could be handled more efficiently. That’s the kind of problem I’d look at when building with @ama_protocol.
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Clear financing terms and understandable repayment processes matter just as much as access to capital.

That’s an important lens for evaluating projects like @DowProtocol, which brings onchain infrastructure into e-commerce financing.
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Something I find worth exploring is how AI agents can fit into tasks people already handle every day.

@ama_protocol gives builders a way to explore that possibility, and I’m interested in seeing what practical ideas can come out of it.
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