this resonates hard and exactly what i'm trying to build to solve at elvex.
the missing pieces we are building around are:
- unified auth/permissions across multiple AI providers
- secure data connections without exposing credentials to agents
- audit trails for compliance
- team collaboration (who can deploy what agents where)
the article's right that the tech is ready but the architecture isn't. most companies are duct-taping OpenAI API + LangChain + custom auth + manual governance
elvex gives you the platform layer: multi-provider AI, data integrations, team permissions, workflow orchestration. not saying it's the only option but we're solving the "how do we actually deploy this" problem
the missing pieces we are building around are: - unified auth/permissions across multiple AI providers - secure data connections without exposing credentials to agents - audit trails for compliance - team collaboration (who can deploy what agents where)
the article's right that the tech is ready but the architecture isn't. most companies are duct-taping OpenAI API + LangChain + custom auth + manual governance
elvex gives you the platform layer: multi-provider AI, data integrations, team permissions, workflow orchestration. not saying it's the only option but we're solving the "how do we actually deploy this" problem