Our CMO, Tommy Yan, attended Abu Dhabi Finance Week (ADFW) and Bitcoin MENA, and was invited as a panelist at the HSC Asset Management Conference in Abu Dhabi.
The session brought together leaders from across finance and technology to discuss market evolution, emerging trends, and the role of innovation in shaping the future of global finance.
The session brought together leaders from across finance and technology to discuss market evolution, emerging trends, and the role of innovation in shaping the future of global finance.
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From AI Agents to Real-World Deployment!
Creating an AI agent is easy. Turning it into something operational is the real challenge.
Agent Forge is designed to help teams move from experimentation to deployment by supporting agents that operate within defined workflows and real use cases.
With Agent Forge, teams can:
• Build AI agents efficiently
• Define workflows intended for execution
• Deploy agents within structured environments
• Monitor and iterate based on usage patterns
Build → Deploy → Operate → Scale
👉 agents.aitech.io
Creating an AI agent is easy. Turning it into something operational is the real challenge.
Agent Forge is designed to help teams move from experimentation to deployment by supporting agents that operate within defined workflows and real use cases.
With Agent Forge, teams can:
• Build AI agents efficiently
• Define workflows intended for execution
• Deploy agents within structured environments
• Monitor and iterate based on usage patterns
Build → Deploy → Operate → Scale
👉 agents.aitech.io
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When Compute Is Readily Available, Progress Accelerates!
Solidus provides AI teams with access to GPU compute that can be provisioned as workloads evolve.
Designed to support training, inference, and longer-term capacity requirements, it helps teams align compute resources with project demands without managing underlying infrastructure.
🔗 https://compute.aitech.io/
Solidus provides AI teams with access to GPU compute that can be provisioned as workloads evolve.
Designed to support training, inference, and longer-term capacity requirements, it helps teams align compute resources with project demands without managing underlying infrastructure.
🔗 https://compute.aitech.io/
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🌟 Discover What’s Shaping Fashion Trends!
The Trenz Agent on Agent Forge analyzes data from fashion-related APIs to surface emerging styles, outfit inspiration, and trend indicators. It helps users explore fashion insights based on general preferences such as color themes and occasions, using structured data to highlight what’s gaining attention across the fashion landscape.
👉 agents.aitech.io
The Trenz Agent on Agent Forge analyzes data from fashion-related APIs to surface emerging styles, outfit inspiration, and trend indicators. It helps users explore fashion insights based on general preferences such as color themes and occasions, using structured data to highlight what’s gaining attention across the fashion landscape.
👉 agents.aitech.io
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If We’ve Got AI, What Am I Paying You For?
Once AI tools are rolled out inside a company, a few questions keep coming up. Not in meetings or presentations, but in day-to-day work.
These are five of them.
1. “Why can’t this just run by itself?”
Because things don’t always happen the same way twice. When inputs change or something unexpected comes up, someone has to step in and decide what to do next.
2. “Why does someone still need to check the output?”
Because AI can be wrong without making it obvious. It doesn’t flag uncertainty the way a person would.
3. “Why do two people get different results doing the same thing?”
Because AI responds to how it’s used. Different inputs, timing, or context can change the result, even for similar tasks.
4. “Why can’t we use one AI tool for everything?”
Because most tools work well for specific tasks. Once they touch real workflows, handovers, or internal data, the gaps show up.
5. “So what is the team actually doing now?”
Handling decisions, exceptions, and follow-ups. The parts of the work that don’t fit neatly into a prompt.
AI takes care of a lot of the routine.
The rest still needs people.
Once AI tools are rolled out inside a company, a few questions keep coming up. Not in meetings or presentations, but in day-to-day work.
These are five of them.
1. “Why can’t this just run by itself?”
Because things don’t always happen the same way twice. When inputs change or something unexpected comes up, someone has to step in and decide what to do next.
2. “Why does someone still need to check the output?”
Because AI can be wrong without making it obvious. It doesn’t flag uncertainty the way a person would.
3. “Why do two people get different results doing the same thing?”
Because AI responds to how it’s used. Different inputs, timing, or context can change the result, even for similar tasks.
4. “Why can’t we use one AI tool for everything?”
Because most tools work well for specific tasks. Once they touch real workflows, handovers, or internal data, the gaps show up.
5. “So what is the team actually doing now?”
Handling decisions, exceptions, and follow-ups. The parts of the work that don’t fit neatly into a prompt.
AI takes care of a lot of the routine.
The rest still needs people.
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⚡️ AI Agents: From Intent to Action!
AI agents can help translate everyday business intent into structured workflows.
When a request is made, they can assist with task routing.
When data is submitted, they can help organize and process it.
When work is scheduled, they can support coordination and follow-ups.
When insights are needed, they can surface relevant information.
Designed to reduce operational friction, AI agents support teams in managing work more efficiently while remaining under human oversight.
🔗 agents.aitech.io
AI agents can help translate everyday business intent into structured workflows.
When a request is made, they can assist with task routing.
When data is submitted, they can help organize and process it.
When work is scheduled, they can support coordination and follow-ups.
When insights are needed, they can surface relevant information.
Designed to reduce operational friction, AI agents support teams in managing work more efficiently while remaining under human oversight.
🔗 agents.aitech.io
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🌟 Turn Every Support Ticket into a Resolved Case!
Customer support workflows can be streamlined with automation.
The Zendesk Support Agent on Agent Forge helps teams monitor tickets, surface status updates, and support issue tracking across the support lifecycle. By integrating with Zendesk via OAuth, teams can reduce manual follow-ups and improve consistency in how tickets are managed.
Set up once, connect securely using your Zendesk Client ID, Client Secret, and Subdomain, and support workflows can operate with greater efficiency.
👉 agents.aitech.io
Customer support workflows can be streamlined with automation.
The Zendesk Support Agent on Agent Forge helps teams monitor tickets, surface status updates, and support issue tracking across the support lifecycle. By integrating with Zendesk via OAuth, teams can reduce manual follow-ups and improve consistency in how tickets are managed.
Set up once, connect securely using your Zendesk Client ID, Client Secret, and Subdomain, and support workflows can operate with greater efficiency.
👉 agents.aitech.io
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AITECH #1 Project on the DePin Leaderboard on CertiK!
We would like to share with our community that AITECH is now also ranked as the number one DePIN project on the CertiK leaderboard.
We would like to share with our community that AITECH is now also ranked as the number one DePIN project on the CertiK leaderboard.
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🗞️ Ava's Frid-AI Roundup!
Hey everyone, it’s Ava with your Solidus Ai Tech Friday AI Roundup, let’s dive into the seven AI headlines that had everyone talking this week!
➡️ Read here: https://x.com/AITECHio/status/2002046298116243731?s=20
Hey everyone, it’s Ava with your Solidus Ai Tech Friday AI Roundup, let’s dive into the seven AI headlines that had everyone talking this week!
➡️ Read here: https://x.com/AITECHio/status/2002046298116243731?s=20
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Solidus Ai Tech Announcement
As we approach the end of the year, we want to share a clear and considered update with our community.
The final weeks of the year are shaped by holiday periods, Christmas breaks, and New Year’s downtime. Across the industry, attention drops, teams are offline, and meaningful engagement slows. Launching major products during this window would limit visibility, momentum, and adoption.
After internal alignment across the entire team, we have collectively agreed to prioritize impact over timing. We are fully aligned on our goals, our roadmap, and the long-term direction of Solidus AI Tech.
2025 has been a challenging year for many. High volatility driven by geopolitical issues, increased institutional control over markets, and liquidity being pulled from altcoins have tested builders and communities alike. Through it all, our focus has remained unchanged: building real infrastructure, real products, and a sustainable ecosystem.
For this reason, our upcoming products, the Compute Marketplace, Agent Forge 2.0, and Vision Makers, are now scheduled for release in early 2026, at a time when attention, participation, and momentum are back at full strength. This ensures each release receives the focus, usage, and traction it deserves.
We would like to take this opportunity to wish everyone a Merry Christmas and a happy holiday season. Thank you for your continued support, patience, and belief in what we are building.
Further updates will be shared in due course.
As we approach the end of the year, we want to share a clear and considered update with our community.
The final weeks of the year are shaped by holiday periods, Christmas breaks, and New Year’s downtime. Across the industry, attention drops, teams are offline, and meaningful engagement slows. Launching major products during this window would limit visibility, momentum, and adoption.
After internal alignment across the entire team, we have collectively agreed to prioritize impact over timing. We are fully aligned on our goals, our roadmap, and the long-term direction of Solidus AI Tech.
2025 has been a challenging year for many. High volatility driven by geopolitical issues, increased institutional control over markets, and liquidity being pulled from altcoins have tested builders and communities alike. Through it all, our focus has remained unchanged: building real infrastructure, real products, and a sustainable ecosystem.
For this reason, our upcoming products, the Compute Marketplace, Agent Forge 2.0, and Vision Makers, are now scheduled for release in early 2026, at a time when attention, participation, and momentum are back at full strength. This ensures each release receives the focus, usage, and traction it deserves.
We would like to take this opportunity to wish everyone a Merry Christmas and a happy holiday season. Thank you for your continued support, patience, and belief in what we are building.
Further updates will be shared in due course.
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🔍 Real-Time Solana Insights!
SearchDex Screener on Agent Forge a real-time Solana market analysis agent for screening Raydium DEX pairs by liquidity, volume, market cap, price, and token age.
🔗 agents.aitech.io
SearchDex Screener on Agent Forge a real-time Solana market analysis agent for screening Raydium DEX pairs by liquidity, volume, market cap, price, and token age.
🔗 agents.aitech.io
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Why AI and Blockchain Work Together!
AI and blockchain solve different problems.
AI operates on probability, analyzing data, detecting patterns, and supporting decisions at scale.
Blockchain enforces rules, records outcomes, and enables verification.
One optimizes for speed and adaptability. The other provides traceability and accountability.
Together, they enable systems that are automated yet verifiable. As AI becomes more autonomous, transparent and auditable foundations become essential.
This is where AI and blockchain naturally converge.
AI and blockchain solve different problems.
AI operates on probability, analyzing data, detecting patterns, and supporting decisions at scale.
Blockchain enforces rules, records outcomes, and enables verification.
One optimizes for speed and adaptability. The other provides traceability and accountability.
Together, they enable systems that are automated yet verifiable. As AI becomes more autonomous, transparent and auditable foundations become essential.
This is where AI and blockchain naturally converge.
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✨ Fetch posts and comments from any subreddit!
The Reddit Posts Agent on Agent Forge, lets you pull structured Reddit data directly into your workflows. Choose the subreddit, set post and comment limits, and let the agent handle the rest, fast, reliable, and ready for analysis.
🔗 agents.aitech.io
The Reddit Posts Agent on Agent Forge, lets you pull structured Reddit data directly into your workflows. Choose the subreddit, set post and comment limits, and let the agent handle the rest, fast, reliable, and ready for analysis.
🔗 agents.aitech.io
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🗞 Solidus Ai Tech Weekly Snapshot by AVA!
Hey everyone, here's your Solidus Ai Tech Weekly Roundup, let’s dive in!
➡️ Read here: https://x.com/AITECHio/status/2002770932260352097
Hey everyone, here's your Solidus Ai Tech Weekly Roundup, let’s dive in!
➡️ Read here: https://x.com/AITECHio/status/2002770932260352097
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✨ Learn AI video, animation, music, and storytelling!
Created by the How To Learn AI YouTube team, this agent helps you master the latest AI tools, from video creation and animation to music, deepfakes, and filmmaking, in clear, step-by-step sessions under 5 minutes.
🔗 agents.aitech.io
Created by the How To Learn AI YouTube team, this agent helps you master the latest AI tools, from video creation and animation to music, deepfakes, and filmmaking, in clear, step-by-step sessions under 5 minutes.
🔗 agents.aitech.io
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AI is entering its infrastructure phase!
The last wave of AI was about discovery.
The next wave is about durability.
As real usage grows, the conversation naturally shifts from novelty to foundations.
Teams are thinking less about what AI can do, and more about what it can reliably run on.
That transition is where long-term value is built.
The last wave of AI was about discovery.
The next wave is about durability.
As real usage grows, the conversation naturally shifts from novelty to foundations.
Teams are thinking less about what AI can do, and more about what it can reliably run on.
That transition is where long-term value is built.
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🌟 50M+ AITECH Staked in the Community Pool!
50 Million+ $AITECH tokens are currently staked in the Community Staking Pool. All staking activity is recorded on-chain through transparent and auditable smart contracts, providing verifiable traceability for participants.
🔗 https://pad.aitech.io/staking
50 Million+ $AITECH tokens are currently staked in the Community Staking Pool. All staking activity is recorded on-chain through transparent and auditable smart contracts, providing verifiable traceability for participants.
🔗 https://pad.aitech.io/staking
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🌟 How We Measure Progress Internally!
We don’t measure progress by impressions or launch announcements.
Instead, we monitor indicators such as:
• Repeat usage
• Cost stability
• Builder retention
• Execution reliability
These metrics evolve over time, but they provide a more meaningful view of long-term progress.
We don’t measure progress by impressions or launch announcements.
Instead, we monitor indicators such as:
• Repeat usage
• Cost stability
• Builder retention
• Execution reliability
These metrics evolve over time, but they provide a more meaningful view of long-term progress.
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⚡️ Agent Behavior Snapshot!
After observing usage patterns on Agent Forge, a consistent trend emerges.
Highly used agents are often not the most complex ones.
They typically:
• Perform a single, well-defined task
• Run the same workflow repeatedly
• Operate within predictable execution parameters
This is where sustained usage tends to concentrate.
In early stages, builders often experiment with complexity. Over time, usage frequently shifts toward agents that are reliable and easier to integrate into everyday workflows.
This transition from experimentation to repetition is often where platforms begin to demonstrate practical value.
For builders, starting with a clear, recurring pain point can be more effective than designing broad, multi-purpose agents. Agents focused on one task tend to see more consistent use than those designed to do everything at once.
🔗 agents.aitech.io
After observing usage patterns on Agent Forge, a consistent trend emerges.
Highly used agents are often not the most complex ones.
They typically:
• Perform a single, well-defined task
• Run the same workflow repeatedly
• Operate within predictable execution parameters
This is where sustained usage tends to concentrate.
In early stages, builders often experiment with complexity. Over time, usage frequently shifts toward agents that are reliable and easier to integrate into everyday workflows.
This transition from experimentation to repetition is often where platforms begin to demonstrate practical value.
For builders, starting with a clear, recurring pain point can be more effective than designing broad, multi-purpose agents. Agents focused on one task tend to see more consistent use than those designed to do everything at once.
🔗 agents.aitech.io
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