Public summary

AI usage and model handling summary

Where AI is used in the workflow, how outputs are validated, and where human review still applies.

Focused summaryReview-ready languageFormal follow-up available

Why this matters

Partners choosing Blacklight are not just buying automation. They are trusting a workflow that should be clear about where AI is used, where it is bounded, and how those outputs are handled responsibly.

AI usage and model handling summary · Current public summary

Current summary

The main points a reviewer should actually take away

These points are written to be shareable and review-friendly. They give the reviewer a direct answer in plain language before the conversation turns into a longer procurement or questionnaire exchange.

AI is used inside the resume-generation workflow rather than as an open-ended chat product layered across the whole site.

Model processing is scoped to the request workflow, and Blacklight stores the service outputs it needs in its own system rather than relying on an OpenAI-hosted conversation history as the business record.

That means partners can review AI use as one bounded part of the service path: generation happens for the request, outputs are kept in Blacklight systems, and the platform record does not depend on a separate chat history living elsewhere.

Next review path

Open the next document only if the review actually needs more

Start with this summary. Then move into the packet, appendix, or formal follow-up only when the reviewer needs a broader or more formal response.

AI usage and model handling summary

The main points a reviewer should actually take away

Open the next document only if the review actually needs more

Use the packet when the team needs one concise review document.

Use the appendix when the reviewer needs deeper operational detail.

Use the contact flow when the public materials are no longer enough.