Stacks / 6 workflow stages
Set Up an Open / Local AI Workbench
Run models locally, add a usable interface, experiment with agents, and keep the stack less dependent on one hosted provider.
Best for
Developers experimenting with local models, privacy-conscious workflows, or provider-independent AI tooling.
Outcome
A local-first environment for running models, interacting with them, and building simple agentic workflows.
Not for
Teams that need guaranteed enterprise support, managed scale, or production SLAs from a single hosted platform.
Use this as a decision framework, not a mandatory shopping list. Swap or skip layers based on your existing stack, constraints, and risk profile.
1. Run models locally
Ollama
Start with a straightforward local model runtime that makes downloading and serving supported models easy.
2. Add a usable interface
Open WebUI
Give local models a practical browser interface for everyday experimentation and testing.
5. Discover models
Hugging Face Models
Explore open model options and their ecosystem before committing to a runtime choice.
AlternativesOpenRouter Models
6. Compare model tradeoffs
Artificial Analysis
Use independent performance and cost signals to understand where local/open options sit relative to hosted models.
AlternativesOpenRouter Rankings
Need this workflow built and running, not just linked? EE Solutions implements agentic stacks like this one. EE Solutions is a senior technology team for private capital firms and their portfolio companies.
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