engine.sim.memory review longform-W45-Mon good|bad)| # | Layer (comp_id · still · tier) | Beat | Timecode | Motion | Logo | Audio | VO / on-screen / caption |
|---|---|---|---|---|---|---|---|
| 1 | ![]() matches intent shared field signature-3d | open | 0–17.3s | spatial-parallax | icon·liquid-chrome | ♪ bed_in | The social engine starts with listening, not talking. Today is about social listening. By the end you will know how to make a machine read every room your buyers sit in and tell you, in their words, what they actually want. No surveys. No guessing. Just reading. on-screen: Stop guessing what people want |
expected on screen: red ground · tetra hero in the shared Signal Field · Nexus leads · node-graph · spatial-parallax · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape tetraground redtreatment liquid-chromemotion spatial-parallaxpower summoninstrument summon→Stop guessing what people want | |||||||
| 2 | ![]() matches intent NumberedList template | teach | 17.3–37.5s | kinetic-build | icon·white-knockout | ♪ node_lock | First move. Wire a search tool into the terminal. We connect a Reddit reader and an X reader through MCP, small adapters that let the agent pull posts and comments directly. You give it the subreddits and the search terms where your buyers gather. It pulls hundreds of real threads in one pass, no clicking. on-screen: Point a reader at the crowd |
expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape tetraground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Point a reader at the crowdcurate items, nodes | |||||||
| 3 | ![]() matches intent ChecklistCard template | teach | 37.5–57.3s | kinetic-build | icon·liquid-chrome | ♪ node_lock | Second move. Hand all that raw text to the model and ask one thing. What do these people complain about over and over. It groups the noise into a short list of real pains, ranked by how often they show up. You stop arguing about what matters. The crowd already voted in plain writing. on-screen: Let the model find the pattern |
expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape tetraground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→Let the model find the patterncurate items, nodes | |||||||
| 4 | ![]() matches intent FlowSchematic template | teach | 57.3–76.4s | kinetic-build | icon·white-knockout | ♪ node_lock | Third move, the one most people skip. Ask the model to pull the exact phrases buyers use, not your industry jargon. If they say my posts get no reach, you write my posts get no reach. You feed those phrases straight into next week's posts. The crowd wrote your hook for you. on-screen: Steal their exact words |
expected on screen: red ground · a FlowSchematic panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id FlowSchematicvisual node-graphshape tetraground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Steal their exact wordscurate nodes, stages | |||||||
| 5 | ![]() matches intent KpiGrid template | proof | 76.4–95.5s | receipts-count | icon·liquid-chrome | ♪ node_lock | Proof, no numbers needed. The angle of this very video came from listening. We read the threads where small business owners vent about social, saw the same fear again and again, and built the post around it. We did not invent a topic. We caught one that was already in the air. on-screen: We listened before this video |
expected on screen: red ground · a KpiGrid panel over a dimmed Signal Field · Nexus leads · receipts · receipts-count · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape tetraground redtreatment liquid-chromemotion receipts-countpower receiptsinstrument spotlight→We listened before this videocurate kpis, statsLabels | |||||||
| 6 | ![]() matches intent shared field signature-3d | resolve | 95.5–113.2s | coalescence | icon·liquid-chrome | ♪ bed_out | That is social listening. Wire a reader, find the pattern, steal the words, write back. A machine does the reading so you do the thinking. See the whole engine working in public at office dot temerarii dot xyz, then point a reader at your own crowd this week. on-screen: Watch the listening run |
expected on screen: red ground · tetra hero in the shared Signal Field · Nexus leads · coalescence · coalescence · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape tetraground redtreatment liquid-chromemotion coalescencepower coalescenceinstrument coalescence→Watch the listening run | |||||||