prysm/cyberver-cell.md

learning cell in prysm

the education and staking interface of cyberver. neurons learn, earn, and grow. shows mentors to follow, learner rankings, faculty topics, and staking rewards — knowledge acquisition as an economic game

protocol role

cell in the element tree $\mathcal{T}$. renders inside space zone of prysm/grid. a cell composing molecules into the cyberver experience

sizing

fill × fill (occupies entire space zone)

structure

glass [fill × fill, depth background, overflow scroll]
  stack vertical [gap 2g, padding 3g]
    tabs [faculties: math, physics, crypto, biology, ...]
    --- mentor list ---
    stack vertical [gap g]
      neuron-card [mentor 1, karma, reward rate]
      neuron-card [mentor 2, karma, reward rate]
      ...
    --- learner stats ---
    display [highlight]
      counter [earned rewards]
      pill [progress, staking completion level]
    --- delegation table ---
    table [columns: mentor, delegated, rewards, APR]

fold

$\mathcal{F}$:

  • $l_1$ ($w_{min} = 40g$): tabs + mentor list + stats side by side + table
  • $l_2$ ($w_{min} = 20g$): tabs + mentor list above stats, table below
  • $l_3$ ($w_{min} = 10g$, mobile): tabs + stacked sections, compact

emotion

green for profitable delegations, yellow for underperforming, red for negative returns. mentor neuron-cards carry karma emotion

states

state visual trigger
browsing mentor list + stats visible default
delegating delegation confirmation with amount input tap "delegate" on mentor
loading skeleton cards fetching data

interaction

  • tap faculty tab → filter mentors by topic
  • tap mentor neuron-card → view mentor profile
  • tap delegate button → enter delegation flow (amount input in commander)
  • table sort by column (rewards, APR)

3D

cyberver-cell renders at ambient $p_z$. in 3D, mentor neuron-cards position by gravity — high-karma mentors closer to neuron

ECS

  • Entity: cyberver-cell organelle
  • Components:
    • Sizing { width: Fill, height: Fill }
    • Overflow { scroll }
    • FoldSet { conformations }
    • ActiveFaculty { faculty_id }
    • MentorList { list of neuron data }
    • LearnerStats { rewards, progress }
    • DelegationTable { rows }
  • Systems:
    • CyberverFacultySystem reads tab selection, filters mentors
    • CyberverDelegationSystem handles delegation flow

Graph