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  • Already a Film: fourteen days of shooting life like cinema, starting Sept 21

    Starting Monday, September 21, @streetlightseason on Instagram runs a two-week experiment called Already a Film. One phone. No editing suite. Fourteen days of filming ordinary life like cinema, because it already is. Your life is already a movie. Most people just never press record. The rules Minimal work, not minimal cuts. Three clips or fewer per reel, and Instagram's own beat-sync does the cutting. Every reel is finished in the native editor in under five minutes. Light is the subject. Streetlights, headlights, golden hour, hard shadow. If there's no light doing something, there's no shot. The send test. Before anything posts, one question: would someone forward this to one specific person? If not, it goes to Stories. The hook is the first frame and one line of text. No setup, no "wait for it." We measure only shares, saves and comments. Views and watch time are ignored on purpose. The schedule Reels Monday, Wednesday, Friday and Sunday at 7pm ET. Feed posts Tuesday and Saturday at noon. Stories every day. Week one is about noticing: the walk home, a parking lot at 9pm, eleven minutes of golden hour, the same corner shot three times. Week two is your turn: the Sunday, September 27 reel asks you to film three seconds of your own morning and tag #streetlightseason, and the best ones get cut into a community film the next day. Why this matters to Auteur Studies Auteur Atlas, the editor we're building, exists because the gap between a phone clip and a finished film should be an hour of attention, not a week of work. This sprint is the thesis tested in public: minimal editing, maximum noticing. On October 5 we publish the scorecard, shares, saves and comments per reel, nothing else, and let the numbers decide what sprint two looks like. How to join Follow @streetlightseason on Instagram. On Sunday, September 27, film three seconds of your morning like it's the opening shot of a film. Post it with #streetlightseason. Watch for the community cut on Monday, September 28. If you're in it, you'll be credited on screen and invited as a collaborator. Early access to Auteur Atlas is invite-only for now. DM ATLAS on Instagram for a code, or write to streetlightseason@gmail.com.

  • Auteur Studies: what we make, and where each product actually stands

    Auteur Studies makes tools for people who cut short-form video. Two products, and an honest line on each. Atlas A week planner and performance index for reels, stories and posts. You put the week on a board, and once a post has gone out you log what it did — so the next decision is made against your own numbers rather than a feeling. Status: in development. The page you arrived on is its product page. APX A daily planner that stores nothing. Your day lives in the page while it is open and in a link you choose to copy — open that link anywhere and the day comes back; close everything without copying and it is gone. Paste days back in and the month draws itself as a map you can pull back from or push into. If you make short-form video, you can log a reel as you cut it and five craft rules check it live, while the edit is still fixable. It can also measure a clip you hand it — first cut, tempo, contrast — reading the file on your own device. Status: finished, tested and installable. Not yet hosted on this domain, and not in either app store. About the numbers on this site The homepage shows "14 posts measured", a median reach and an engagement rate. Those are sample values. They are there to show the shape of the product, not to report a result — no real account has been measured and published here. If you are evaluating this, do not read them as evidence of anything. Saying so costs nothing, and it is the rule both products are built on: state the number, then say how much weight it can carry — never the other way round. Every reading APX prints carries the count of days behind it. Its five craft thresholds are derived from five to fifteen hand-authored rows, and the app says so on its own face rather than in a footnote. What the products do with your data, and what this website does APX keeps no account, no server and no database. Nothing you type reaches us, because there is nowhere for it to go. This website is a separate thing. It is hosted by Wix and behaves like an ordinary website. The privacy properties above are claims about the products; they are not claims about this page. One sentence should not be asked to do both jobs. Contact A dedicated support address at this domain is being set up and is not receiving mail yet. Until it is live, use the contact details registered for this site. This page is the most current statement of where each product actually stands.

  • What Auteur Studies is

    Auteur Studies is a studio building tools for the craft of short-form video. The premise is that the cinematic reality we already live in can be represented with minimal editing and work — and that most of the difference between a cut that holds and one that does not is something you can measure before you post, while the edit is still fixable. What is being built Auteur Atlas — plan the week's reels, stories and posts by dragging them into place; check a cut against five craft rules before it goes out; and read the reach afterwards without inventing a number. It runs in the browser. There is no account and no server: a week travels in a link you copy, and a clip you measure is read on your own device and never uploaded. Where it actually stands Plainly, because it matters more than a launch line: nothing has been measured yet. There are no users, no traction and no performance figures to report. Any numbers shown in a demonstration are synthetic and labelled as such wherever they appear. The craft thresholds rest on small hand-authored samples, and each one carries its own sample size and its own caveats — including one rule that says it is the weakest and should be retired first. No accounts, no analytics, no server. Nothing is uploaded, because there is nowhere to upload it to. Every figure carries the number of posts it rests on. A rule with no measurement stays silent rather than guessing. Get in touch streetlightseason@gmail.com

  • The five craft rules, and what each one rests on

    Most of what separates an amateur montage from a professional one is measurable. Cuts landing on the beat, exposure matched across a join, the strongest frame first — that is craft, and craft can be checked. Five rules do that checking here. What follows is each rule, and then the part that usually gets left out: exactly what it rests on. The five 1. Hook length The opening should not hold longer than 2.0 seconds before something changes; trim to 1.8s, on the beat. Where the number came from. Fitted from 5 rows. Hook duration against loop count came out at r = -0.874, and both mega-viral rows had hooks at or under 1.8s. What published work says. Concept corroborated. Meta and the University of Maryland's 'Decoding the Hook' (2026) treats the first three seconds as decisive, on far more data than ours. It gives no 1.8s figure. The ceiling is ours, not theirs. 2. First pattern interrupt The first hard change should land between 1.8 and 3.8 seconds. Where the number came from. Fitted from 15 rows. Three-second watch rate averaged 0.767 inside the window against 0.695 outside. Note that the raw correlation is only +0.089 — this is a window, not a trend, and it should not be extrapolated past the range observed. What published work says. No direct evidence. Interior-optimum windows are real in this domain, but these particular bounds are unsupported. 3. Contrast floor A graded contrast ratio under 5.5 is flat; lift it toward 7.1. Where the number came from. Fitted from 15 rows. Above 5.5, stop-scroll averaged 285ms against 241ms, and share-to-view 0.088 against 0.057. What published work says. The best founded of the five. Contrast driving fixation is measured directly in eye-tracking work. It also carries a declared counter-signal: thumbnail click-through runs against stop-scroll at r = -0.216, so buying dwell with contrast may cost clicks. The rule says so itself rather than pretending otherwise. 4. Loop tempo A bed above 130 BPM hurts a looping format; prefer 120 or under. Where the number came from. Fitted from 15 rows. Loop completion averaged 0.522 below 130 BPM against 0.365 at or above. What published work says. Weakened, and the first of the five to retire. The outside literature is openly inconsistent about preferred tempo, and nothing found ties slower tempo to loop completion. A 15-row result with no external corroboration. 5. Loop seam The last frame should hand back to the first. Where the number came from. Not fitted from anything. n = 0. What published work says. An explicit assumption, borrowed from the pipeline's own across-cut exposure rule on the reasoning that a loop point is just another cut. It was never claimed to be a finding, and it is flagged here so it cannot be mistaken for one. The honest summary Published work supports the concept behind four of the five rules, and none of the five numbers. Every threshold here was fitted from between 5 and 15 hand-authored rows. They are a stated craft position, enforced consistently — not a finding. The rule that did not ship A sixth was proposed: a target for cut density, cuts per ten seconds. It was rejected. Cuts-per-10s against three-second watch rate came out at r = -0.086, and the sign of the split flips depending on where you cut it. No defensible threshold exists in that data. Reading it against the media-psychology literature explains why: the relationship is likely an inverted U, where more cuts recruit attention up to a point and then overload. A straight line through an inverted U is approximately zero — which is exactly what was measured. The null was the wrong model, not the absence of an effect. A rule that cannot be defended does not ship, and the reason it did not ship is kept next to the ones that did. Why publish the weaknesses Because a threshold you cannot argue with is a threshold nobody can improve. Every number above is replaceable the moment there is real published performance to fit it against — which is the single highest-value thing that could happen to this work.

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