AI Agents Built for Data Workflows
Most AI agents are built for software development. They suggest changes, explain errors, and offer next steps. But data and AI development requires more. It depends on understanding code, data, and infrastructure together. Zerve’s AI Agents are built with that context. They write real code, run real workloads, and work directly inside your environment.
No more starting from scratch
Ask it to create a new workflow, and it will not just drop a block on the canvas. It understands how data flows through each step, and what is needed to connect everything correctly.
Tell it what you want, and it assembles the pieces:
Need a pipeline to clean customer data? It builds it
Want to add an API call to your analysis? It wires it together
Have an error in your LLM workflow? It finds the issue and fixes it
It works inside your environment, natively and securely interfacing with your data and infrastructure. When needed, it can also spin up new infrastructure to support larger workflows or heavier processing, always under your control. No vendor lock in. No copying data into third party systems. You stay in control.
This is not a chat window. It is a full developer that pair programs with you and integrates with your workflow. It supports Python, SQL, and other popular languages, fitting the way engineers and data scientists already work.
Why engineers are stuck in a broken loop
Making a change often means switching between tools. You move from a chatbot to your IDE to a CLI, then back again. Each step adds friction. Each switch breaks your focus. What should be a quick fix turns into a drawn out process.
Zerve’s AI Agent breaks that cycle by operating inside your environment. You see every step the agent takes in real time, and can adjust or take over when needed. It is a shared interface between you and the agent, built for collaboration.
It can explain why a block fails and correct it
It can revise an entire process without starting over
It can test its own changes and show you the results
No extra tools. No disconnected workflows. No copy and paste between platforms.
Built for your real work
Zerve’s AI Agent understands what you are building. It works with the data it is connected to, using tools like Python and R. It supports enterprise deployments in private cloud or on prem environments.
It sees your data and understands how it is structured
It interprets workflow context and writes logic that fits
You review and refine everything before it goes live
You stay in control. You move faster. And you avoid the back and forth that slows teams down.
Zerve’s AI Agent was built for professionals who need reliability, speed, and privacy. It helps you go from idea to execution without reinventing tools or changing how you work. Want to see how it fits into your workflow? Get started today.
Related resources
FAQs
What makes Zerve’s AI Agent different from other coding assistants?
Unlike typical agents that focus only on code, Zerve’s AI Agent works with your data, infrastructure, and workflows together. It writes real code, executes jobs, and integrates with your environment securely.
Can Zerve’s AI Agent build entire workflows?
Yes. You can ask it to build pipelines, integrate APIs, or fix issues in your workflows. It assembles the pieces and ensures everything connects correctly.
Does the AI Agent replace engineers or data scientists?
No. It accelerates their work by handling repetitive coding and orchestration tasks while experts provide direction, review, and quality control.
How does Zerve ensure security with its AI Agent?
The agent runs directly inside your environment, supporting private cloud and on prem setups. You stay in control of your infrastructure and data without vendor lock in.
What languages does Zerve’s AI Agent support?
It supports popular languages like Python, SQL, and R, allowing teams to work the way they already do without learning new systems.
How is collaboration handled with Zerve’s AI Agent?
The agent operates in the Zerve Canvas as a shared interface. Teams can see its actions in real time, make adjustments, or take over when needed.
