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copalm — your AI thought partner

copalm.ai

introducing a knowledge library for everything you've figured out in your career.

ask copalm to build a library...

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copalm.ai turns one expert's experience into many learners' experiences —

a social platform built on shareable knowledge graphs.

my role —
founder
product designer
user researcher
ux writer
vibe-coder
worked with —
professors
content designers
AI leadership
managers
developers
impact —
53+ sign-ups
23+ SMEs interviewed
117-component design system
100% bootstrapped with AI
timeline —
18 mos
january 2025
to present
started as capstone,
soon become a company

click

meet the Subject Matter Expert (SME) — they knew what to teach, but not where to begin.

top pain points

􀁑

no starting point

􀁑

knowledge is invisible.

􀁑

tools missed step zero

the "blank page" problem is #1 among creators
who know their expertise

sourced from

900+ creator survey, 2022

competitive gap

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14 platforms existed.

All of them assumed that the expert already knew where to begin.

success criteria

􀁝

can I enable an expert to structure and publish knowledge with zero blank-page friction?

research showed 2 things

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AI was generating, not thinking

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people wanted a thinking partner, not a faster way to make the same thing.

sourced from + 23 interviews with

SMEs, Content Designers, Educators, and AI Leadership

so v1 tried to be exactly that.

at this point I realized, the design wasn't the problem — the target was.

the user wasn't wrong — 

targeting people who knew what to teach was.

they already had tools that worked;
the real opportunity was the expert who had none.

is there an unmet need for experts?

does course creation work for non-designers?

is there a bigger market than Instructors?

each step maps back to 1 of the 3 pain points we identified.

LAND

􀰑

PERSONALIZE

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PLAN

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BUILD

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ANNOTATE

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PUBLISH

SME drops context — resume, file, link. copalm starts informed.

Social URLs teach copalm the SME's voice and tone.

Structured questions: audience, goals, format. No blank page.

Conversation on the left. Course structure forming live on the right.

Human + AI suggest instructional improvements together.

One click. Course goes live with a landing page.

􀕭

context first —
the SME starts with a foundation, not nothing.

no starting point

􀕭

the conversation
makes invisible knowledge tangible.

knowledge is invisible

􀕭

the setup work every
other tool assumed you'd figured out yourself.

tools missed step zero

this time, v2 began with a conversation, not a blank page.

click

but honestly, v2 solved half the problem. v3 made knowledge dynamic.

in usability studies, experts finally got past the blank page —

but the result was a static course. the expert's knowledge didn't live on, and every learner got the same fixed path.

a course is a snapshot. knowledge is alive.

v2 solved it for the expert, once — 


but learning shouldn't be static, and 

one fixed path can't fit every learner.

so we asked —

why must the learning be static?

why one fixed path for everyone?

what if the expert's knowledge could be a living layer each learner shapes for themselves?

this time, v3 began with a conversation, a library and a visual layer of knowledge.

the story isn't finished — v4 is being built now.

What's next? one expert's knowledge, many learners' paths.

click

design usually stops at the handoff — mine shipped straight to production.

prompt —

component states + specs, defined in Figma.

􀰑

generate —

Lovable turned them into production React + Tailwind.

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validate —

reviewed, corrected, shipped. nothing went live unchecked.

last updated — 06/30/2026