Running a Model Locally Makes Your Team the Vendor
Running a model locally shifts production work to your team. Evaluate capacity, reliability, security, and engineering time before replacing an external API.
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Running a model locally shifts production work to your team. Evaluate capacity, reliability, security, and engineering time before replacing an external API.
Deleting an uploaded file is only one step. Design and verify deletion across extracted text, search indexes, saved answers, logs, caches, and backups.
Before building an MCP integration, test whether an existing CLI meets the agent's needs. Weigh maintenance, permissions, reliability, and workflow fit.
Model selection, caching, context, batch processing, and bounded workflows shape AI costs. Measure the full cost of a successful resolution.
When Claude was banned from government systems, some teams swapped providers in a day. Others faced months of refactoring. The difference? Building every integration for replaceability. Here's why this principle applies to every dependency you have.