Seldon Core
TOOLMLOps and LLMOps framework for deploying, managing and scaling AI systems in Kubernetes. Standardized deployment across model types with autoscaling, multi-model serving, and A/B experiments
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Free tool — Seldon Core. MLOps and LLMOps framework for deploying, managing and scaling AI systems in Kubernetes. Standardized deployment across model types with autoscaling, multi-model serving, and
What this tool does
"Seldon Core" packages a proven tool so you can skip the trial-and-error of writing one from scratch. MLOps and LLMOps framework for deploying, managing and scaling AI systems in Kubernetes. Standardized deployment across model types with autoscaling, multi-model serving, and A/B experiments On OpenRuna it sits inside a connected graph of related tools, tools, and datasets, so branching into adjacent resources is one click away. Open a new conversation and paste it in, wire it into an agent, or keep it in your team's prompt library.
Use cases
- Reach for it during planning or review sessions when you want consistent, AI-assisted structure.
- Combine it with related tools and prompts in the same OpenRuna category to build an end-to-end workflow.
- Hand "Seldon Core" to a new teammate so their tool output matches your team's quality bar from day one.
- Use "Seldon Core" when you need a repeatable tool for professional work without rewriting instructions every time.
Example output
Ask the model to apply "Seldon Core" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. Add one example of your own and the output quality jumps noticeably.
Tips by platform
Claude
In Claude, paste the full tool as your first message or add it to Project instructions, then ask Claude to confirm assumptions before it executes. For longer tools, iterate inside the artifact panel.
ChatGPT
In ChatGPT, start a fresh chat and paste this tool verbatim, then follow up with "apply this to [your context]." Pick a current GPT model for coding or reasoning tasks.
Cursor
In Cursor, lift the key instructions from this tool into .cursorrules or a SKILL.md file, then reference it in Agent mode with @ mentions. Keep the title in a comment so teammates can find it on OpenRuna.
Frequently asked questions
- What is "Seldon Core"?
- It is a tool listed on OpenRuna — MLOps and LLMOps framework for deploying, managing and scaling AI systems in Kubernetes. Standardized deployment across model types with autoscaling, multi-model serving, and A/B experiments You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
- Is "Seldon Core" free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
- How do I get the best results from this tool?
- Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
- Does "Seldon Core" work with both Claude and ChatGPT?
- Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
- Where can I find resources related to "Seldon Core"?
- Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.
Related resources
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