Frequently Asked Questions

LLM Controls is an AI platform for workflow automation. Our no-code/low-code platform makes building applications simple. No coding required unless you want to! Our enterprise-grade features ensure application quality, performance and efficiency for at-scale mission-critical deployments.

LLM Controls is designed for enterprise teams to deploy AI workflows at scale, enabling rapid production deployments for AI/ML engineers, operations, and business units while ensuring strong security and governance.

LLM Controls comes with Automatic Prompt Engineering, Evals and Optimization technology, all built-in.

Almost anything you can imagine! You can build HR automations, spreadsheet workflows, marketing campaigns, customer support chatbots, and tons of custom solutions. If you have a unique idea or need some inspiration, feel free to contact us or book a demo - we love helping people bring their AI ideas to life.

Absolutely! You can design, test, and version different prompts visually. Plus, our built-in prompt optimizer helps you generate better prompts based on your specific use case - then save and reuse them across all your workflows.

Think of it as your AI writing assistant! Our prompt optimizer generates optimized prompts based on what you're trying to accomplish. You can save these polished prompts and use them anywhere in your workflows, saving you time and improving results.

You bet! LLM Controls supports sophisticated, multi-step pipelines with memory, tools, conditional logic, and human-in-the-loop nodes. Whether you need something simple or enterprise-grade complexity, we've got you covered.

Yes! We support RAG workflows with popular external vector databases like Pinecone, Weaviate, Chroma, and Supabase. Even better - LLM Controls now includes its own built-in vector database, so you can store and retrieve embeddings directly without relying on third-party services. This gives you better performance and full control over your data.

Definitely! We built LLM Controls with teamwork in mind. You can share workflows, set up role-based access, and maintain version control. Both technical and non-technical team members can contribute and work together seamlessly - no one gets left out.

Yes! You can deploy your workflows directly to a custom subdomain, making it super easy to share your AI apps or embed them wherever you need them.

Absolutely. When you're ready to go live, you can export your workflows as APIs or integrate them directly into your existing applications. No vendor lock-in here!

Yes! With our auto-scheduling feature, you can set workflows to run automatically at specific times or intervals. Set it and forget it - your AI will handle the rest.

We integrate with a wide variety of open-source and closed-source LLMs. Plus, you can bring your own model provider keys to use in workflows - giving you complete flexibility and control over your AI setup.

You bet! Our monitoring dashboard shows you everything: workflow performance, latency, cost per request, and detailed node-level insights. It's like having a health check for your AI apps - quickly spot bottlenecks, optimize costs, and keep everything running smoothly.

We identify operational bottlenecks, implement AI workflows on our platform, deploy quickly, and keep improving the system over time.

Many workflows can go live in 1–2 days, depending on complexity and the systems involved.

No. LLM Controls is built for companies that want outcomes without building an internal AI capability from scratch.

Because most patchwork stacks create integration debt, weak ownership, and unstable workflows. LLM Controls combines implementation and platform in one model.

Operational workflows across back-office work, service delivery, sales support, compliance, and cross-system coordination are usually the strongest fit.

Because most companies do not need a tool to experiment with. They need a workflow partner that can identify the right bottlenecks, deploy quickly, and stay involved after launch.

We continue improving the workflow, supporting the rollout, and expanding into the next highest-value use cases.

You get workflow discovery, implementation, platform access, support, iteration, monitoring, and included API credits inside one delivery model.

No. One of the main advantages of LLM Controls is reducing the need for a patchwork stack of extra tools.

Both. LLM Controls combines team-backed implementation with a proprietary platform.

Yes. Flexible commercial structures are available depending on engagement.