Program Catalog

Browse structured AI programs built to end in proof

Track the program to done, attach what you built (deck, doc, demo, prompts — your call), publish a single link recruiters or instructors can open.

getsavv makes completed learning legible: program, date, and the artifact you shipped — shareable proof, not vapor.

Principle 01

Courses and workshops have their own public catalog pages instead of being hidden inside saved items.

Principle 02

Learners can add any published item into their program list without losing the original structure.

Principle 03

Academic references are explicit and linkable, so courses can cite their foundations instead of implying them.

Courses

Structured, self-guided curricula built from your existing course briefs and outlines.

AI & Machine LearningBeginner

AI 101

Getting Better Use Out of AI

A beginner-friendly course on practical LLM use: choosing tools, prompting well, managing context, and building a working stack.

Self-guided course7 modules, 2-3 hours

Outcomes

  • Choose the right model for common tasks
  • Write stronger prompts with less trial and error
  • Use markdown, editors, and version control in AI workflows
AI & Machine LearningIntermediate

Secret Agent Team

Agents, Skills, and Jobs to Be Done

A hands-on course about how agents, skills, and tool selection fit together across marketing, personal workflows, and small business use cases.

Self-guided course8 modules

Outcomes

  • Understand where agents help and where they add noise
  • Choose the right stack for the workflow, not the hype cycle
  • Map use cases across marketing, personal ops, and small business
MarketingBeginner to intermediate

Generalist Marketing Starter Kit

Brand, Product, Content, and Performance Fundamentals

A practical curriculum for generalist marketers covering monitoring, messaging, content, demand, performance, and analyst work.

Self-guided course8 modules

Outcomes

  • Build a more balanced marketing operating range
  • Improve product messaging and competitive understanding
  • Connect content and social work to demand and performance outcomes

Workshops

Shorter training formats for hands-on implementation and facilitation.

AI & Machine LearningIntermediate

Claude Code Agent Team

Turn One YouTube Demo into a Real Learning Journey

A workshop-style journey built from the sample video about Claude Code, skills, and MCP. The goal is not just to watch the demo, but to rebuild the workflow, adapt it to your own work, and capture proof.

Workshop5 stages, 60-90 minutes

Outcomes

  • Extract the actual workflow from a video instead of treating it like inspiration only
  • Set up a minimal Claude Code environment with one skill and one MCP connection
  • Adapt the workflow to a real use case such as research, notes, or content operations
MarketingIntermediate

Event Hosting Mastery

From First Event to Community Builder

A workshop-style training for product marketers and community builders who need a system for planning, hosting, and scaling events.

Workshop6 modules, about 3 hours

Outcomes

  • Choose the right event format for the goal
  • Run events with stronger systems and less ad hoc chaos
  • Use events for community building, not just lead capture

Academic Foundations

Seed references that explain the learning design choices behind the catalog.

John Sweller · 1988

Cognitive Load During Problem Solving: Effects on Learning

Cognitive Science

A foundation for designing instruction that avoids overwhelming learners with unnecessary complexity.

David A. Kolb · 1984

Experiential Learning

Prentice Hall

Frames learning as a cycle of concrete experience, reflection, conceptualization, and experimentation.

Peter C. Brown, Henry L. Roediger III, Mark A. McDaniel · 2014

Make It Stick

Harvard University Press

Synthesizes learning science around retrieval, spacing, interleaving, and generation for durable skill building.

What changed

Published programs now have their own catalog structure. Personal tracking stays private unless completed, while catalog entries remain public and referenceable.

Compare with Discover

What follows after add

A catalog item should become a real completion flow, not a dead bookmark

This is the intended flow once a learner adds a course, workshop, or reference into their program list.

Step 1

Add

Save the cohort, challenge, course, or workshop you want to finish.

Step 2

Plan

Turn the program into a concrete completion checklist with the right next step.

Step 3

Complete

Move from enrolled to in progress to completed with visible momentum.

Step 4

Capture

Attach the artifact, workflow, doc, or demo that proves the work happened.

Step 5

Publish

Share one public proof page showing the program, date, and outcome.

Program Values

The product values should stay visible throughout the completion flow

These are the standards that connect the public catalog to the private learner experience.

Completion before collection

The product should prioritize finished programs over saved intent.

Proof over certificates

A visible artifact matters more than a badge with no work attached.

Make evidence shareable

Every completed program should be easy to share with recruiters, managers, or instructors.

Keep the next step obvious

Progress should reopen into one concrete action, not a vague reminder to come back later.