An evergreen classroom is product training that stays current without a content refresh cycle: the curriculum derives from the live product, delivery happens on the learner's real screen, and availability is continuous. You build it by inverting one relationship: instead of humans re-describing the product to the content, the training layer perceives the product directly.
Step 1: Sort your curriculum by decay rate
Audit what you teach and label each piece: fast-decay (anything showing the interface: walkthroughs, screenshots, click-path videos), slow-decay (concepts, methodology, "why" material), and never-was-content (the live Q&A and hands-on help your best CSMs improvise). Fast-decay material is where refresh budgets die; it rots at exactly the speed your product improves. That's the layer to move out of artifacts entirely. Slow-decay material can stay produced, video does concepts with a polish live sessions don't need to match.
Step 2: Replace fast-decay artifacts with live delivery
The fix for rotting walkthroughs isn't a faster refresh pipeline; it's removing the render step. A live training agent teaches interface workflows on the learner's own screen, in the product's present tense: there is no screenshot to rot because there is no screenshot. Its knowledge updates by rescanning the product and docs as they change, so the curriculum's source of truth is the current interface, not a recording from March. This single step usually retires the majority of the refresh backlog.
Step 3: Make the classroom continuous, not scheduled
Evergreen also means always-on: the classroom is a colleague you summon, mid-task, mid-question, mid-release, not an event on a calendar. Concretely: an in-product practice mode for supervised reps, "how do I" answers at the moment of need, and short agenda-driven sessions that resume where they left off. Scheduling was a constraint of human throughput, not a pedagogical choice.
Step 4: Redefine the humans' job as editorial
Evergreen doesn't mean unattended. Your team still decides what's worth teaching, sets agendas per role and segment, reviews what the agent teaches, and curates the slow-decay library. The work changes species: from re-rendering artifacts to editing judgment. The release-day scramble ("who's updating training before Tuesday's launch?") becomes a non-event, because launch-day training is just the agent teaching the product as it now is.
Step 5: Verify the evergreen claim
Test it quarterly: pick the three workflows that changed most last release and have someone new learn each one through the classroom. If they're taught the current interface without anyone having updated anything, it's evergreen; if a human had to intervene, you found the next artifact to retire. (Disclosure: this design is Skippr's Skippr AI training, a brain that rescans the product, sessions on live screens, practice mode always on; the audit works on any vendor's claim, including ours.)
Questions buyers actually ask
Does evergreen mean we delete our video library?
No. Concept and overview video survives on merit; it decays slowly. What you retire is interface-showing content, the layer that rots every release and eats the refresh budget.
How does the trainer stay accurate after big releases?
By perceiving the product rather than storing renders of it: rescanning the interface and docs as they change. Verify with the quarterly test above rather than taking any vendor's word.
Watch it train someone
Completion is not competence, and the difference shows up in the product rather than the dashboard. Fifteen minutes is enough to tell them apart.