engine.sim.memory review longform-W37-Sun good|bad)| # | Layer (comp_id · still · tier) | Beat | Timecode | Motion | Logo | Audio | VO / on-screen / caption |
|---|---|---|---|---|---|---|---|
| 1 | ![]() matches intent shared field signature-3d | open | 0–28.8s | spatial-parallax | icon·white-knockout | ♪ bed_in | This week the calendar says one thing: turn social listening into real decisions. Most people watch their mentions, feel something, and do nothing. We are going to do the opposite. We are going to take the raw chatter about a brand and turn it into a short list of moves you can actually make this week. No mood, no guessing. Listening is not a vibe. It is a pipeline, and a model can run most of it for you. on-screen: We listen, then we decide |
expected on screen: red ground · icosa hero in the shared Signal Field · Signum leads · node-graph · spatial-parallax · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape icosaground redtreatment white-knockoutmotion spatial-parallaxpower summoninstrument summon→We listen, then we decide | |||||||
| 2 | ![]() matches intent NumberedList template | teach | 28.8–54.0s | kinetic-build | icon·white-knockout | ♪ node_lock | Step one. Stop reading platforms one at a time. Use an Apify scraper to pull posts and comments about your name, your competitors, and your topic into one file. Point it at Reddit, at X, at the comment sections you care about. You end up with a plain spreadsheet of who said what and where. That file is the whole job. Everything after this is just reading it well. on-screen: Pull the chatter into one place |
expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Signum leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape icosaground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Pull the chatter into one placecurate items, nodes | |||||||
| 3 | ![]() matches intent ChecklistCard template | teach | 54.0–76.7s | kinetic-build | icon·liquid-chrome | ♪ node_lock | Step two. Feed that file to Claude and ask it to group the posts by what people actually want. Not by hashtag. By intent. People asking for help. People angry. People comparing you to someone else. People ready to buy. The model reads a thousand comments faster than you read ten, and it never gets bored or defensive about the mean ones. on-screen: Let the model sort the noise |
expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Signum leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape icosaground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→Let the model sort the noisecurate items, nodes | |||||||
| 4 | ![]() matches intent JsonDiff template | teach | 76.7–98.30000000000001s | kinetic-build | icon·white-knockout | ♪ node_lock | Step three. Ask the model for the three needs that show up the most, with real quotes attached. Quotes matter. A summary that says people want faster support is weak. A summary that pastes four people saying the same complaint in their own words is a decision waiting to happen. You are looking for the sentence that keeps repeating. on-screen: Name the three loudest needs |
expected on screen: red ground · a JsonDiff panel over a dimmed Signal Field · Signum leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id JsonDiffvisual node-graphshape icosaground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Name the three loudest needscurate fileName, lines, nodes | |||||||
| 5 | ![]() matches intent SchematicCard template | teach | 98.3–120.3s | kinetic-build | icon·liquid-chrome | ♪ node_lock | Step four, and this is the public relations move. In that same file, ask the model to flag the accounts people keep citing. The reporter they quote. The creator they tag. The forum everyone links to. That list is your earned-media map. You do not pitch everyone. You pitch the few voices your own audience already pulls into the room. on-screen: Find who they already trust |
expected on screen: red ground · a SchematicCard panel over a dimmed Signal Field · Signum leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id SchematicCardvisual node-graphshape icosaground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→Find who they already trustcurate nodes | |||||||
| 6 | ![]() matches intent DiffCard template | teach | 120.3–141.6s | kinetic-build | icon·white-knockout | ♪ node_lock | Step five, the partnership move. Look for tools, brands, and people that show up next to yours, where nobody is fighting. If your customers keep mentioning another product they use alongside yours, that is not a rival. That is a partner who already shares your audience. Have the model list every co-mention, ranked by how often it appears. on-screen: Spot the partner hiding in comments |
expected on screen: red ground · a DiffCard panel over a dimmed Signal Field · Signum leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id DiffCardvisual node-graphshape icosaground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Spot the partner hiding in commentscurate lines, nodes | |||||||
| 7 | ![]() matches intent StackTrace template | teach | 141.6–162.9s | kinetic-build | icon·liquid-chrome | ♪ node_lock | Step six, the event move. Search the file for time and place words. Meetups people wish existed. Questions that keep going unanswered. A city that keeps coming up. Listening tells you what room to build before you spend a dollar on the room. Ask the model: if these people were going to gather, what would they gather around. on-screen: Read the room for an event |
expected on screen: red ground · a StackTrace panel over a dimmed Signal Field · Signum leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id StackTracevisual node-graphshape icosaground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→Read the room for an eventcurate errMsg, errType, fix, frames, nodes | |||||||
| 8 | ![]() matches intent NodeGraphCard template | teach | 162.9–183.8s | kinetic-build | icon·white-knockout | ♪ node_lock | Step seven. Take your needs, your voices, your partners, and your event signal, and write one concrete action for each. One pitch. One outreach note. One small gathering. Ask the model to draft all four, in plain words, ready to send. A decision you cannot act on by Friday is not a decision. It is a note. on-screen: Turn each finding into one action |
expected on screen: red ground · a NodeGraphCard panel over a dimmed Signal Field · Signum leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id NodeGraphCardvisual node-graphshape icosaground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Turn each finding into one actioncurate hub, nodes | |||||||
| 9 | ![]() matches intent StatScoreboard template | proof | 183.8–205.8s | receipts-count | icon·liquid-chrome | ♪ node_lock | Here is the honest part. We run this exact pipeline on ourselves. The whole campaign calendar you are watching came out of one source file, read by a model, the same way we just read those comments. We are not showing you a trick we keep for clients. We are showing you the actual room while the lights are on. on-screen: This whole flow is public |
expected on screen: red ground · a StatScoreboard panel over a dimmed Signal Field · Signum leads · receipts · receipts-count · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id StatScoreboardvisual receiptsshape icosaground redtreatment liquid-chromemotion receipts-countpower receiptsinstrument spotlight→This whole flow is publiccurate pillar, stats, statsLabels | |||||||
| 10 | ![]() matches intent shared field signature-3d | resolve | 205.8–229.20000000000002s | coalescence | icon·white-knockout | ♪ bed_out | So the takeaway is simple. Listening only counts when it ends in a move. Pull the chatter, group it by need, name the voices, the partners, and the room, then write the four actions. Your next step is small: open one scraper, point it at your own name, and read what comes back. The full thing is live at office dot temerarii dot xyz. on-screen: See it at office.temerarii.xyz |
expected on screen: red ground · icosa hero in the shared Signal Field · Signum leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape icosaground redtreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→See it at office.temerarii.xyz | |||||||