If you are trying to ship real agentic apps, you need more than a demo; you need reliable data flows, evals, and a deployment stack you can absolutely trust. Singularity Compute @S_Compute is leaning into the unglamorous work that makes builders faster; knowledge graphs, domain fine-tuning, and the MLOps layer for monitoring and iteration. This is how pilots become production, without guesswork when things break.

ASI:Create closed alpha is now live; a flow-based agent builder for people who want to ship, not just demo. You can create agents with node graphs, connect inputs through UI or APIs, and publish inside Spaces with profiles and roles. The stack pulls from @Fetch_ai Agentverse, @SingularityNET services, and @CUDOS_ style compute via ASI:Cloud. This alpha is about hard feedback on what breaks, what is missing, and what needs to be faster for real deployments.

Spec-driven development is the missing bridge between “I can demo an agent” and “I can ship one that runs unattended.” Treat an agent like a product with contracts; define tools, state transitions, failure modes, and budgets (latency, gas, rate limits) before you write prompts. Build a validation loop around the spec; simulators, unit tests for tool calls, policy checks, and observability that catches drift in production. Prompting is still useful; it just becomes an implementation detail, not the architecture.

This is what progress looks like; products, not promises. ASI One from @Fetch_ai gives a Web3-native model entry point; ASI Cloud by @CUDOS_ makes compute accessible without vendor lock-in; ASI Chain DevNet developed by @SingularityNET is the coordination layer we actually needed.

Singularity Compute @S_Compute offers a full suite of enterprise-class AI infrastructure, with high-throughput AI inference services delivered via the ASI:Cloud platform. Power up your AI development today: singularitycompute.com/

🧠 Build with purpose. Scale with support. We’re actively accepting participants for the ASI:Accelerator. Apply to get: • Access to distributed GPUs • Mentorship in #AI & #Web3 • Ecosystem support with no red tape • Wallet login, no KYC Apply now: cudos.org/accelerator?utm_so…

The Next-Gen DeAI framework lays out how AI networks can become self-financing systems, capable of sustaining their own growth. A tokenomic design that treats each shard as an autonomous economic unit; scalable, modular, and ready for developers to build on.

🌐 Your monthly signal from ASI:Cloud is here. Highlights: • 3B inference tokens processed • Platform stayed online during the AWS outage • $20 in free credits for new users • New walkthroughs, model stack updates, & events 🔗 Read the full recap: cudos.org/blog/the-asi-cloud…

🎉 𝐎𝐯𝐞𝐫 𝟑 𝐁𝐈𝐋𝐋𝐈𝐎𝐍 𝐢𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐭𝐨𝐤𝐞𝐧𝐬 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐝 𝐨𝐧 𝐀𝐒𝐈:𝐂𝐥𝐨𝐮𝐝 📖 That’s equivalent to over 25,000 books! 🪙 Inference tokens = what models read & generate on our platform. 🌐 Start deploying inference now → asicloud.cudos.org/?utm_sour…

The integration of MCP with @Fetch_ai Agents gives developers a new layer of power; it lets them build AI agents that connect directly to real-world APIs. Think of it as creating bridges between ASI:One (as1.ai) and external data sources, from @Airbnb to @github; without custom integration. A modular, reusable path toward universal agent interoperability.

Meet the winners of @ETHGlobal x @Fetch_ai Innovation Lab! 🎉 Here are the top projects that won from the @ASI_Alliance prize pool 👇 @WSana81

👷‍♀️ Builders, this is where it gets real. Don’t miss this panel at #Token2049 Singapore - the blueprint for tomorrow’s agent-native systems. See you there!