AI video · Case study
Poqr Mher: how an AI animated feature reached a film programme
Start with the trailer and festival listing, then follow the manager's account of visual anchors, shot review, rerouting failures and the limits of the release evidence.
Published · Reviewed
The festival lists Sydney, Perth and Melbourne sessions. A programme listing does not verify attendance, ticket sales, box office or profit. The complete film is not provided here.
Check this resultPoqr Mher brings a figure from the Armenian epic into modern life. Its trailer shows characters, settings and action, while a festival programme lists it as an 80-minute family animated feature from 2026. Most production details come from project manager Mariam Hakobyan, who says the project took six months, with core AI production concentrated in two. She shares coordination methods and failures, not a shot-by-shot generation log, full cost ledger or box-office account. The useful question is how many generatable shots became one feature through character rules, review and decisions about rework.
Verified material
First separate the trailer, the feature listing and unknown box office
A trailer is public and a festival lists runtime and sessions; the full film and sales results are absent from these materials.
The project manager links the Poqr Mher trailer. The Armenian Film Festival Australia's separate programme names director Hovhannes Margaryan, an 80-minute runtime and Armenian with English subtitles; it lists Sydney sessions on September 20 and 21 and later Perth and Melbourne dates. Readers can inspect the trailer and programme, but these sources do not offer the whole feature or verify each production shot.
A ticketed programme shows an exhibition route. It does not establish actual attendance at each session, ticket numbers, box-office income or profit. The manager also describes sponsors entering story scenes without publishing contracts, receipts or revenue splits. Distribution and commercial-partner paths are visible; money received remains unknown.
Sources for this section: Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be Possible · Poqr Mher project trailer · Armenian Film Festival Australia: Poqr Mher programme
Public account
Turn an epic adaptation into producible scenes
The team reports 196 scenes and 23 members, with characters, locations, risks and dependencies scoped before intensive generation.
Inspired by the Armenian epic Sasna Tsrer, the film imagines the legendary Mher encountering students in modern life. The manager reports 196 scenes, a 23-person core team and 13 AI creators. When she joined, character and location generation had begun, but shot volume, difficulty and dependencies had not been mapped. She grouped characters by importance, ranked locations and planned storyboarding and production from that map.
She tiered locations P1, P2 and P3 by how many shots depended on them and how difficult they were to make. Storyboards, characters and locations had lock dates so some work could run in parallel. The point was to know which later shots a delay would affect, not to send an entire feature to models at once. The article does not publish adaptation agreements, the full script or all boards; it cannot establish the rights position of this particular adaptation.
Sources for this section: Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be Possible · Armenian Film Festival Australia: Poqr Mher programme
Public account
How characters, places and lighting stayed coherent across scenes
Character specifications, location master shots, expression keyframes and boards anchored each shot instead of a single generic prompt.
The manager says characters had JSON descriptions of skin, hair, clothes, height and facial details; locations had interior, exterior, nature and building specifications; shared lighting used master prompts. The team then made location master shots, principal-character expression keyframes and boards. These were chained in Freepik's node workflow for individual shots. Her article shows selected board and workflow images, not every JSON file, source asset or final shot input.
The team assigned creators by location: one person handled its angles, lighting variations and related scenes, learning where geometry or characters drifted. The manager believes this improved continuity compared with assigning work by film sequence. Her claim that consistency held is a team assessment. The public trailer shows excerpts, not enough to audit every scene of an 80-minute feature.
Sources for this section: Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be Possible · Poqr Mher project trailer
Public account
3,286 generations were not 3,286 accepted shots
The generation total is team-reported; the director reviewed shots in context, and management tracked scene approvals per week.
The manager reports 3,286 video generations, mostly with Kling. For difficult motion, action or emotional close-ups, she says the team used Seedance at roughly ten times the per-generation cost. That is her project comparison, not a current price table or the project's final bill. Freepik nodes reused workflows, Milanote held shots and visual versions, and Asana held tasks and blockers. The director reviewed each shot against its board and neighboring shots.
The team planned separate reviews of stills and motion, then found that attractive stills often failed once animated through broken poses or flickering light. They dropped the separate still approval and strengthened character, location and board inputs before generation. The manager tracked approved scenes per week rather than treating generation count as progress. This is her first-party account of a production decision; approval logs, yield and detailed costs are not public.
Sources for this section: Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be Possible
Public account
An unreliable model, a missing book and late sponsors
The manager describes specific failures and rework decisions, without publishing same-shot failed and repaired footage.
About two-thirds through production, the manager says the video models were unreliable for roughly ten days: quality fell, waits grew and previously useful prompts returned unusable footage. The team moved to backup platforms, made some scenes at lower quality for later rework and parked hard shots while creators completed others. She does not publish service incident records, every failed output or controlled before-and-after footage. This is the team's account of that period.
A more concrete failure concerned a prop: a book required across a sequence was missing from generated footage, so six scenes had to be redone. The team added a script-to-board prop check. Sponsors also changed imagery: they held a shopping-shelf scene while brands were uncertain, then rebuilt other scenes when an e-payment sponsor was confirmed. The transferable decision is to identify objects that must persist across shots and commercial details likely to change late, then decide which shots to delay or remake. The account does not show that a new prompt alone fixed these problems.
Sources for this section: Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be Possible
Public account
Beyond the trailer, sound and director review still had to finish
The manager says the final soundtrack was unresolved four days before delivery, while director review remained the quality gate.
The manager opens by saying the final soundtrack was still unresolved four days before delivery. Her article does not detail recording, music rights, dialogue, mixing or subtitling. The visual-generation tools she names therefore do not describe the whole film. The festival lists Armenian with English subtitles, documenting how it is presented in the programme, not who made every audio or language asset or at what cost.
She describes a stretch when director reviews slowed under competing demands. The team did not substitute another approver; they made the delay visible and routed creators to ungenerated scenes. A striking image must still connect to neighboring shots, emotion and the director's intent. That is why approved scenes, rather than model outputs, were their progress measure.
Sources for this section: Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be Possible · Armenian Film Festival Australia: Poqr Mher programme
Our analysis
A release and sponsor path, without a calculable return
Festival listings, reported sponsors and model-cost differences answer different questions and do not yield profit.
The public trailer and festival programme show a feature prepared for outside exhibition. The manager says the team explored candy, milk and juice sponsors and remade scenes for an e-payment partner, but gives no fees, contracts, invoices or receipts. The festival listing supplies no box-office settlement. Her per-generation Kling versus Seedance comparison also omits usage mix, subscriptions, labour, voice and release costs. Total production cost, break-even point and profit cannot be calculated.
A traditional epic may inspire a story, while a particular script, character design, music, voice, performer likeness, brand mark and generated asset can each carry separate conditions. The public account does not provide a rights ledger. Access to a trailer or workflow description is not permission to reuse the film's images, audio or production assets. A similar project should begin with material one may use and separate agreements for sponsor integration and exhibition.
Sources for this section: Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be Possible · Armenian Film Festival Australia: Poqr Mher programme
Our analysis
For a first attempt, try three scenes in one location
Test cross-shot props, motion and editability in a small sequence before expanding to a feature or paid work.
A small trial could use a story you may adapt: one location, one main character and three connected scenes. Mark the character's appearance, props that must persist and the emotional change in each scene. Build a location master, character views and expression references, then a short board. Keep each generation's references, prompt, tool, cost and failure reason. Let one creator own the location, edit the shots into a sequence and ask another person to check props, action and emotion against the board. This three-scene exercise is BitShovel's suggestion drawn from the feature's account, not a recipe published by its makers.
If the sample may become a commercial project or public screening, add a rights ledger, review owner, backup tools, revision rules and cost records. Track audience response, bookings, actual ticket settlements and sponsor income separately. A programme listing is not a ticket sale, and a high generation count is not a count of approved scenes.
Sources for this section: Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be Possible · Armenian Film Festival Australia: Poqr Mher programme
Sources and limits
Where the material comes from
- Mariam Hakobyan: Producing a Film That Wasn't Supposed to Be PossibleFirst-party project-manager account; published June 5, 2026Published Checked
Scene and team counts, generations, tools and rework are manager-reported; no shot log, full ledger, sponsor contract or exhibition revenue is supplied.
- Poqr Mher project trailerYouTube trailer linked by the project managerChecked
Shows selected imagery and pacing, not the complete 80-minute film or production and revenue records.
- Armenian Film Festival Australia: Poqr Mher programmeFirst-party festival film and session listingChecked
Confirms director, 80-minute runtime, language and listed Sydney, Perth and Melbourne sessions; no attendance, sales or box-office data.