Trish Maine

Trish Maine

arfc01.blogspot.com

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We’re adding managed AI usage to Intrascope. Here’s why.

Hi everyone,

When we first launched Intrascope, we focused on BYOK. Teams could connect their own API keys and use multiple AI models from one shared workspace.

That worked well for technical teams.

But after talking to users, founders and companies over the past few months, we noticed that many teams want something simpler.

1mo ago

Which social media strategy worked best for selling your product? On which platforms?

Throughout the years in marketing, I ve witnessed many different approaches to how people use social media to sell a product (or themselves).

It always depends on the final customer; I can clearly see that companies usually bet on a few things:

their personal brand (often LinkedIn and X, e.g. Levelsio and Marc Lou for B2B, or Instagram in the case of influencers and their products)
purely paid ads (across Meta e.g. minimalist phone, where there is almost no organic content)
community-driven growth (Discord, Reddit, Facebook groups, Slack communities, etc.)

The enterprise question isn’t capture. It’s control.

On a Tuesday, the first enterprise question is usually not can you capture AI code? It s who can see the records, how long do they live, and what happens when a policy blocks a change?

That s the part LineageLens is built for. Base gives you local capture. Lite gives a shared team record. Plus and Max move the data into a backend where auth, permissions, retention, and policy live next to the provenance records instead of around them.

The useful thing here is not another dashboard. It s a self-hosted record of prompt, model, tool, file, and outcome that engineering, security, and platform teams can actually govern on their own infrastructure.

I keep seeing AI governance tools start with visibility, then discover that the real enterprise questions are identity, retention, and review. If the record cannot be scoped, retained, and exported on your side, it is not really governable.

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