AI chatbot for stop motion studios: scope tactile animation projects
SleekAI reads your stop motion case studies, fabrication notes, frame-rate tests, and engagement scopes from WordPress so producers and brand marketers get accurate quotes on builds and shoot timelines, using your own OpenAI, Anthropic, Google, or OpenRouter API key.
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A bot that understands frames per day
Stop motion is a frames-per-day business. A puppet rig that animates two seconds per shoot day is a fundamentally different cost structure than a flat 2D process. Most producers and brand marketers don't know this, which is why scoping stop motion is famously fraught. Your case studies sit in WordPress with ACF fields for technique (puppet, claymation, paper craft, found object), runtime, frame rate, shoot days, and the team lead. SleekAI maps those so a prospect asking "do you do paper craft commercials with mixed-media compositing" gets the right reels, with shoot days and lead noted.
The harder thing to communicate is the build-shoot-post ratio. A 60-second stop motion commercial is typically 3 to 4 weeks of fabrication, 4 to 6 weeks of shooting, and 2 to 3 weeks of post. SleekAI reads a phase CPT so the bot quotes the realistic timeline by technique and runtime. "A 30-second puppet animation runs 7 to 9 weeks with a starting investment of $48,000." That answer prevents the awkward call where a producer thought the spot would be done in three weeks for $12,000.
Studios with rig and armature reference photos in WordPress get a bonus: the bot can link to a specific build that demonstrates the puppet style a prospect describes, so style fit can be validated before the discovery call.
Workflow
How SleekAI plugs into a stop motion site
Map case studies
Codify phase timelines
Catalogue puppets and rigs
Route scoped briefs
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A typical stop motion studio conversation
Comparison
Generic chatbot vs SleekAI for stop motion studios
Generic chatbot
- Doesn't understand fabrication, shoot, and post phases
- Can't quote frames-per-day-driven timelines
- Misses technique distinctions like puppet, clay, paper
- Has no idea about rig reuse from past projects
- Sends every scoping question to a slow email thread
SleekAI chatbot
- Reads case studies with technique, runtime, and frame rate
- Quotes realistic phase timelines (build, shoot, post)
- Distinguishes puppet, claymation, paper, and found object
- Knows rig reuse logic and typical fabrication savings
- Routes scoped briefs to your producer with phase summary
Features
What SleekAI gives you for stop motion studios
Technique aware
Case study posts with technique, runtime, frame rate, shoot days, and lead become readable. Prospects asking for puppet, paper craft, or claymation get filtered case studies rather than a single undifferentiated reel that buries the specific style they need.
Phase honest
Fabrication, shoot, and post timelines are recorded per technique and runtime band. The bot quotes realistic windows with the conditions that affect them, so producers stop expecting three-week miracles on nine-week craft.
Rig reuse aware
If past puppets and armatures are catalogued in WordPress, the bot can flag potential reuse, typical fabrication savings, and the conditions under which reuse is feasible. It always routes ownership questions to the producer for the discovery call.
Use cases
Where stop motion studios use this on their site
Brand commercial pages
Marketers scoping a 30 to 60 second spot get realistic phase timelines and starting investments in chat. The bot routes serious leads to a scoping call with the conversation summary attached.
Music video pages
Labels and artists ask about technique fit, budget, and turnaround. The bot quotes lower-tier music video pricing and walks through the fabrication implications of the requested style.
Workshop and class pages
Students ask about workshop dates, prerequisites, and price. The bot reads a class CPT and Stripe-linked enrollment status to answer about seats remaining and refund policy.
The bigger picture
Why phase-honest chat changes stop motion conversion
Stop motion's hardest sales problem is timeline. Most prospects come in expecting 2D-animation speed and get sticker-shocked when they learn that 30 seconds of puppet work is two months and high five-figure dollars. By the time the discovery call happens, the prospect has either dropped out or been promised an unrealistic timeline by a competitor and proceeds to be disappointed downstream.
A chatbot that walks through phase timelines honestly at first contact reframes the conversation. The prospect learns why nine weeks is the floor for the brief they want, decides whether to expand the timeline or cut the brief, and either commits or self-selects out cleanly. The studio talks to fewer prospects but talks to better-scoped ones.
The other shift is reel filtering. A prospect looking for paper craft mixed-media gets three perfect matches with shoot day counts and lead noted, instead of scrolling a single reel of every style the studio has ever made. That filtered experience is the credibility test that decides whether the studio is on the shortlist.
For studios where each engagement is six to twelve weeks of full-team focus, having only well-scoped briefs in the pipeline is not a marketing nicety, it is operational survival.
Questions
Common questions about SleekAI for stop motion studios
Yes, the bot is instructed in frames-per-day vocabulary and quotes realistic phase timelines. It pushes back gently when a producer asks for an impossible timeline, with a concrete explanation of why a 30-second puppet spot can't be done in three weeks. Most producers appreciate the honesty because they were going to discover the truth a week into the engagement anyway.
 No. The bot's instructions explicitly emphasise honesty about feasibility and quote conservative timelines with the conditions that could extend them. Overselling at the chat stage trades a short-term lead for a long-term retention loss, and the bot is configured against that pattern. If a brief is truly impossible at the requested budget, the bot says so cleanly and offers a scope adjustment.
 Yes, if past puppets and armatures are catalogued in WordPress with rig condition and ownership notes. The bot can flag a likely reusable match and typical savings, then route ownership confirmation to the producer for the call. This is genuinely useful for repeat-client brands who want a series of spots with the same character.
 Yes, music video pricing usually sits in a separate tier band because labels expect lower budgets. The bot can scope the conversation to the music video tier, quote the realistic range, and explain technique tradeoffs at that budget. Some studios run a separate bot on the music video page with display conditions, so the music video conversation never collides with commercial pricing.
 It can flag standard rights structures from your engagement CPT (broadcast plus digital for 18 months, in-perpetuity buyouts at a premium) but routes specific negotiations to the producer. Exclusivity and buyout pricing have too much project-specific nuance for a bot to commit to. The bot's job is to qualify and route, not to negotiate buyouts in chat.
 Yes. A class CPT with date, capacity, prerequisites, and Stripe-linked enrollment status becomes readable. The bot can answer about seats remaining, refund policy, and what to bring to a workshop. For series subscriptions, the bot can also surface upcoming sessions and link directly to enrollment via your existing payment system.
 Pick the ACF fields the bot can see. For NDA work, exclude the client name and brand-specific stills, and the bot will reference the engagement as "a major beverage brand" with the technique, runtime, and shoot day count intact. You can also gate full reels behind a request-access flow that the bot triggers when a serious prospect asks for samples.
 OpenAI, Anthropic, Google Gemini, and OpenRouter are all supported. For stop motion scoping, Claude Sonnet and GPT-4 class models handle the frames-per-day reasoning more reliably than cheaper models, which tend to default to faster-medium timelines. Most studios run the higher-tier model and absorb the per-conversation cost since each engagement is five figures.
 Pricing
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