AI 'Harness' Layer Raises Transparency Concerns Over Vendor Influence on Model Outputs

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A developer has raised concerns about the opacity of AI middleware, known as the 'harness', which sits between users and language models and can inject vendor instructions alongside user prompts without clear attribution. The author discovered their AI session surfaced unsolicited suggestions to connect Microsoft 365 and Zapier, services they had never authorised or requested. Upon investigation, no actual connections existed — the options were merely storefront-style prompts, yet the model's behaviour appeared influenced by injected system-level reminders. The core concern is that vendor instructions and user instructions reach the model through the same channel, making it impossible to distinguish who shaped the response. The author argues that as AI becomes embedded in business workflows, controlling for this hidden layer of influence is now a critical engineering and trust challenge.

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