Turn expertise into
Your AI thought partner for Teaching.
Personalize.
Add your content and context to build a personal expertise library.
Ingest, store, and index user-provided materials in a cloud-hosted knowledge layer for contextual AI use.
Build your knowledge library.
Add links or materials you want copalm to reference while working with you.
URL (https://www.linkedin.com/user-name)
Medium
Enter the link
Website
Enter the link
Next
You can always do this later. Skip for now
Brainstorm.
Clarify what you’re building, who it’s for and why it matters.
Use conversational AI to interpret intent, audience, and goals from structured prompts and prior context.
Define your audience
Who is this learning experience intended for?
Select one answer
Beginner
For learners who are new to this topic or domain.
Intermediate
For learners with some prior knowledge or hands-on experience.
Advanced
For learners with deep experience seeking refinement or specialization.
Other
Specify a different or more specific audience.
Skip all
Next
Analyze.
Transform scattered research into clear teaching signals.
Apply AI inference and web-augmented analysis to extract patterns, priorities, and gaps from research inputs.
Proposed research plan
Research Steps
Research Website
(1) Clarify the topic and scope.
Identify key concepts, terminology, and boundaries for this research.
(2) Gather relevant sources.
Collect information from external references, documents, or trusted sources.
(3) Synthesize and contextualize findings.
Connect insights across sources and retain relevant context for this task.
Analyze results
Structured summary
Edit Plan
Start Research
Structure.
Move from raw ideas to a flexible course outline.
Generate and refine structured learning flows using AI-assisted reasoning grounded in the user’s knowledge base.
Add Activity
Getting started
Learning overview
Draft
Intended audience
Draft
Skills you’ll build
Draft
Core concept
Draft
Applied example
Draft
Add activity
Choose a Format.
One structure, many formats - built dynamically.
Render the same underlying structure into multiple formats (text, audio, visuals) through modality-specific AI pipelines.
Choose your course format
What type of content would you like to create?
Audio Series
Podcasts
Quick Path
Story-based Micro Learning
Learning Journey
LMS Course
Visual Storybook
Images to flip from
Video Lessons
Learn while you eat
Learning Guidebook
In-depth guidebooks with image + text.
my pick
Iterate.
Edit, chat, & build together, not in isolation.
Continuously update content through chat-based AI collaboration with persistent state and versioned context.
Storytelling through Data & Design
Mar 11 at 2:00 PM
maybe, but what if students get bored with just charts at first? Could we mix in some storytelling early on?
Good point! We could introduce mini storytelling exercises alongside the practical lessons. That way, they see the “why” as they learn the “how.”
Do you want these exercises to be optional or mandatory?
Hmm, maybe optional at first. But I don’t want them skipping the important stuff. Could we make it engaging so they naturally want to do it?
Absolutely! We can design challenges or mini-projects that feel like a game, so engagement comes naturally.
what should I do next? |
Go to Dashboard
Rename Project
AI Model & Personalization
Course Library
Account & Membership
Settings
Log out
Publish.
Publish once. Learn from engagement. Optimize with performance.
Serve published content at scale and feed engagement signals back into the system to inform future AI iterations.
Storytelling through Data & Design
Develop practical skills in data visualization and experience design by applying storytelling principles across real-world exercises.
9 lessons
3h 49m
96%
Getting started
Learning overview
20 min
Intended Audience
20 min
Skills you’ll build
25 min
Framing the story
Understanding narrative intent
30 min
Structuring a data-driven narrative
30 min
Defining success and signals
25 min
Designing and refining
Designing for clarity
30 min
Working with real data
30 min
Iterating and improving
19 min
How people use Copalm
Turn expertise into structure
Upload notes or start with a thought. Clarify intent, audience, and goals. Shape ideas into a course structure.
From messy ideas to meaningful learning.
Build a living knowledge library
Your expertise grows over time. Copalm connects inputs and past work. Knowledge stays reusable and connected.
Your knowledge, connected and reusable.
Design with knowledge-infused AI
AI reasons with your context. Draws from your knowledge library. Stays true to how you think and teach.
AI that understands what you know.
Built by designers who’ve been in the work.
Sanskriti Bhatnagar
Co-Founder, Chief Executive Officer
Product Designer and User Researcher focused on AI-assisted learning design. Background in eCommerce UX, EdTech, and course content design.
Shantanu Thorat
Co-Founder, Chief Design Officer
Product Designer focused on design systems, conversational UX, and product identity for early-stage startups. Background in conversational AI, SaaS and course content design.
Abhijit bhatnagar, Technical Advisor
Ex-Amazon, Full Stack Developer with 12+ years in large-scale systems, AI/ML infrastructure, and distributed data platforms.