CoreWeave Forge: Turn AI Iteration Into Compounding Improvement

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At Fully Connected 2026 , we announced CoreWeave Forge , which connects and accelerates each stage of the AI improvement lifecycle. It’s a single development environment for serving models in production, observing in-production conversations, curating data, building the next version and evaluating the final product before deploying it into production. Keeping models accurate and agents reliable means repeating that cycle after every deployment. Some organizations already run this cycle across a patchwork of disconnected systems and manual workflows, stitching stages together by hand. Others are only beginning to formalize it. Either way, today's AI teams often stall between the diverse tools of their AI loop or get lost in the handoffs. CoreWeave Forge changes all that. It creates a fully connected improvement loop that reduces manual handoffs between stages and stays open to whichever model, framework, or cloud you already run. With a tightly connected, streamlined loop, your time from production issues to validated fixes shortens with every cycle, accelerating progress and reducing your time from first agent to best agent.

The more you ship, the faster you improve. That’s the virtuous cycle fueling CoreWeave Forge. CoreWeave Forge cures production exhaustion We designed CoreWeave Forge to address the ever-increasing operational complexity of AI production. A few years ago, just getting a model into production was a major milestone that teams celebrated. Today, a first deployment is still a milestone, but it’s only the beginning. Once a team ships its first agent, the hard questions begin. How do we keep the outputs accurate and our customers happy? And what will it cost us to keep it that way? After a few iterations, the excitement fades and it becomes harder to see the impact of improvements, or even know which improvements to try. The AI engineers who trained the model and understand what “good” looks like hand it off to an application or SRE team that owns production, and from that point on the two groups are looking at different systems. Application traces land in an observability dashboard built for uptime, which tells the on-call engineer that the service is healthy but tells the research team nothing about answer quality or user sentiment. The evaluation suite that was previously accurate drifts because no one on the production side owns updating it against shifting user behavior and traffic. And no one on the research side even sees the traffic. Researchers, AI engineers, and business leads go back to their separate dashboards as they prepare another release. And every system requires ongoing maintenance as the technology landscape shifts beneath it. Over time, these gaps make it increasingly difficult to turn production feedback into higher-quality, more cost-effective, and more performant AI applications. Teams spend significant time maintaining tools and coordinating handoffs, leaving less time to improve the applications themselves. The problem isn’t a lack of talent or infrastructure. It’s a disconnected AI improvement loop. Disconnected tools make it hard to loop We designed CoreWeave Forge to connect the systems that run, observe, curate, improve, and evaluate AI workloads—and make them easy to use. These stages follow a familiar cycle for most teams. Run a model or agent in production, watch what it does, turn that signal into data, improve the system, prove the new version is better, then ship it. That’s the general template of AI development today. We designed CoreWeave Forge to not only connect the AI loop but also address the specific challenges of each critical stage: Run: Deploy models and agents in production and generate real-world signals. Opportunity: Running the right models, the right harness, and capturing the right signals.

Observe: Capture traces, metrics, tool usage, and behavioral feedback from metal to agent to understand performance. Opportunity: Knowing what to monitor and what to examine so your team can identify what actually went wrong and what to improve.

Curate: Transform production signals into high-value datasets and continuously refreshed evaluation suites. Opportunity: Enabling AI-supported and human-in-the-loop curation of data and insights, keeping improvement data refreshed against current workload patterns and opportunities.

Improve: Use curated data to optimize agents, shift models, improve the harness, refine models with various techniques from reinforcement learning to supervised fine-tuning to model distillation, and deliver better quality, faster performance, and lower cost. Opportunity: Using the right improvement solution to deliver the expected outcome and ensure curated examples arrive with the lineage that explains them. .

Evaluate: Measure new models and agents against repeatable quality standards before, during, and after deployment. Opportunity: Defining and clearly understanding improvements against clear standards versus shipping changes strictly on the basis of subjective judgment.

The challenges along the AI loop can be daunting and time-consuming, but they’re not intractable. Starting today, there’s a solution. One that ensures that these stages are connected,  open, and easy to understand. Customers like MasterClass and Canva are starting to use Forge already to complete their AI loop. CoreWeave Forge connects the entire AI lifecycle CoreWeave Forge connects all the stages of the AI loop on the cloud purpose-built for AI, creating one connected environment that enables teams to move from production insights to production improvements, faster: What’s new: CoreWeave Agent Lens (New Service) turns production agent observability into continuous improvement and understandable insights. Every step, decision, and tool call traced end to end, readable as a conversation or in full technical detail. Monitors score live traffic with human oversight and curation, so prioritized failures surface early with recommendations on how to address them. Agent Lens improves failure detection by 20% and fixes issues at half of the cost. CoreWeave ARIA (now Generally Available) helps you...