Peerfold.
The agent-first LMS. Courses your customers take and your agents can teach from.
The problem it removes.
Two capabilities, one scenario each.
Courses agents can teach from.
Peerfold structures course content so agents can read it as a governed resource: lessons carry machine-legible structure, answers cite the lesson they came from, and the content your team wrote once teaches through every channel an agent serves. Scenario: a customer asks how to configure a feature at 2am and gets the lesson's answer, cited, not a hallucinated one.
Learning records, CRM-native.
Like every ExtendStack app, Peerfold writes learning activity to the CRM record: enrollments, completions, and the questions customers asked an agent along the way. Scenario: product marketing reads the agent-question log and discovers the real onboarding curriculum, the one customers actually needed.
Peerfold launched August 14, 2026 as an ExtendStack app: portal-installed, your auth, your data layer. Read the launch announcement on the blog.
Peerfold activates Agents: your training content becomes a governed resource that AI teammates can teach from, with citations.
Asked by buyers like you.
What does agent-first actually mean?
It means the courseware is designed to be read by agents, not just played by humans. Lessons carry structure an agent can query, answers cite their source lesson, and the whole library is exposed as a governed resource. A traditional LMS with a chatbot searches transcripts and hopes. Agent-first means the teaching behavior was the design brief.
Try it at peerfold.com, or map it first.
The trial lives on the product's own domain. The diagnostic tells you whether this is the right layer to start with.