Every allowed input surface
Atomic watches safe product signals from public funnels, build requests, marketplace uploads, community intake, project builder runs, agent runs, installs, ratings, achievements, and DRK utility intent.
Open FunnelLearning + Invention Engine / Live Build
Atomic AI learns from every allowed input signal and turns demand into new inventions.
The engine reads public-safe aggregate signals across visits, builds, agents, missions, marketplace intent, memory routes, and DRK utility interest, then recommends what Atomic should create next.
Input Loop
Every allowed input signal becomes fuel for better user paths.
Public-safe memory
Learning is minimized into counts, categories, routes, hashes, and recommendation groups, not exposed as raw personal records.
Open MemoryDemand engine
The system detects what users keep trying to do, where they stop, what they return to, and which builders need clearer missions.
Open Daily LoopInvention output
Atomic drafts missions, agents, tools, projects, marketplace packs, Capsule routes, and AI Core modes from proven demand.
Open App StoreLearning Pipeline
Signals go through hard boundaries before they become recommendations.
Step 1User inputs, visits, builds, ratings, marketplace actions, and mission activity create allowed product signals.
Step 2Redaction and minimization reduce signals to counts, route names, categories, hashes, and safe summaries.
Step 3The learning graph connects demand to Atomic Identity, Memory, Missions, Agents, Marketplace, DRK Utility, and Ecosystem growth.
Step 4The invention queue ranks new missions, agents, tools, templates, project packs, and marketplace opportunities.
Step 5AI Core recommends the next build, but publishing, spending, deploying, and token movement stay review-gated.
Input Coverage
The engine now covers the strongest daily-use surfaces.
Growth signals
Funnel events, route demand, onboarding drop-off, return loops, and high-interest entry points.
Creation signals
Build requests, project builder runs, marketplace uploads, app installs, and community intake.
Execution signals
Agent runs, agent ratings, AI reflections, mission history, achievement progress, and workflow use.
Context signals
Memory records, memory graph links, profile progress, world pins, business intent, and research routes.
Utility signals
DRK economy intents, premium mode interest, compute credits, marketplace route interest, and Capsule upgrades.
Invented supply
Dynamic missions, new agent ideas, tool packs, templates, proof checklists, project bundles, and store categories.
BoundaryNo raw identities, contact details, wallet data, private uploads, full prompts, or sensitive material are published.
ControlNo automatic mainnet deploy, spend, transfer, bridge, swap, approval, mint, burn, or broadcast.