The platform shape, without the platform.
Programs, profiles, schedules, observations, reporting — the LMS scaffolding learning needs to be coherent across a team. Invisible carries all of it so the lesson can be a conversation.
Make Claude your team's learning platform.
Invisible builds the program. Each lesson lands as a link your team taps to open Claude — preloaded with the rails, the profile, and the MCP cards. Claude tutors. Invisible tracks. The best place to learn AI is inside the AI.
Continue Lesson 3 — prompt design in practice.
Picking up where we left off — you're 3 of 8 objectives in. Today: structuring prompts that hold up under pressure.
Invisible · Lesson
~12 min
Claude Fundamentals · Week 2
Prompt design that holds up under pressure.
3 of 8 objectives38%
- Frame the task in one sentence.
- Anchor the audience and the stakes.
- Constrain the output before you ask for it.
Quick warm-up before we go deeper: what's wrong with this prompt? "Write a launch announcement."
Most AI training happens everywhere except inside the AI.
Slide decks, recorded sessions, a Confluence page nobody opens twice. Then the rep, designer, or analyst sits down in Claude, hits a blank chat, and freezes. The training and the tool live in two different worlds — and the one that matters is the one they're not in.
Lessons that live where the work happens.
Invisible runs the program: structure, schedule, profile, observations, reporting. Claude runs the lesson: the tutor, the conversation, and the rich MCP cards. The two share state — the learner never has to.
Program builder · ready to launch
Claude fundamentals · 4-week loop
Lessons
12
~12 min each
Objectives
32
scored by Claude
Connectors
5
Gmail · Drive · Linear ·…
Lessons · first week
L1 · What Claude is good at
3 objectives
L2 · Reading a prompt out loud
2 objectives
L3 · Prompt design in practice
3 objectives
L4 · When to use a connector
3 objectives
Invisible runs the rails. Claude runs the lesson.
Claude is the classroom.
The tutor, the dialogue, the rich MCP cards, the connectors that pull in the learner's real work. Every lesson opens directly into the tool the learner is being trained to use.
The loop closes itself.
Claude fires observations back to Invisible the moment an objective lands. Invisible updates the program and schedules the next lesson. The learner only ever does one thing: tap the next link.
The loop
A learning loop between Invisible and Claude.
Two systems, one shared context. Invisible knows the program; Claude knows the conversation. The MCP layer carries state both ways so the learner never has to hold any of it.
Invisible
Runs the program.
- Lesson structure and pacing
- Rich learner profiles
- Notification rails (email, SMS, Slack)
- Observations · progress · reports
Claude
Runs the lesson.
- Tutor, dialogue, examples
- MCP cards rendered in-chat
- Connectors to your real work
- Objective scoring in the moment
How it works
From built to tutored to tracked.
Build the program in Invisible.
Define the objectives, the cadence, the channels, the connectors Claude will need. Personalization is automatic; the structure is yours.
The link opens Claude in context.
The lesson lands via email or SMS. One tap loads the program, the profile, the rails, and the MCP cards directly into Claude — with the Invisible connector doing the wiring.
Claude tutors. Invisible tracks.
Claude runs the conversation and fires observations back when the objective is met. Invisible updates the rollup, schedules the next lesson, and sends the next link. The loop runs itself.
The best place to learn AI is inside the AI.
Run your team's AI learning loop through Claude, with Invisible carrying the program. Build once, send the links, watch the loop close.