Mingo AI just leveled up. Scripts, policies, tickets, KB - all from one chat prompt. Plus custom PSA pipeline stages. OpenFrame v0.9.19 is live. #MSP#AI
Our documentation reflects what actually shipped, not what shipped six months ago.
Every OpenFrame repo syncs into one knowledge hub, kept current by AI and searchable through an agent that answers with links straight to the source. Write โ PR โ merge โ index. On every change.
Here's how it works.
AI fixed software documentation for us - the part everyone lets rot.
It writes the docs, opens a PR, merges, and indexes everything as RAG across all our repos into one knowledge hub. Then you ask the agent anything and get an answer with hard links back to the source.
How it works, in the podcast episode.
Vendor case studies are cherry-picked. You know it, we know it.
So we built ours differently: every customer interview becomes one AI-written case study - negative feedback included - feeding our site and investor data room at once.
Michael breaks it down on the new episode.
We don't write our case studies. The AI does, straight from the customer interview - including the feedback that doesn't make us look good.
One copy feeds everything: website, investor data room, 20+ channels. No softened version to hide behind. #ProductFeedback
OpenFrame v0.8.15 is live. 15+ new features, including AI-powered ticketing PSA, Knowledge Management, and Device Tagging. Built for MSPs who are tired of vendor lock-in. #MSP
Spent an hour with an operator who scaled an #MSP from $2M to $20M in 3 years.
His take: the standard advice (premium pricing, best-in-class stack, fire small customers) is what keeps most MSPs stuck under $5M.
The next $20M MSPs won't run the same stack.