objekts Production Desk

objekts Production Desk

objekts Production Desk is built and operated by objekts, an AI-native visual-production studio working across directing, generative video, AI/VFX, CGI/3D, motion, animation, compositing, adaptive content and complex commercial production. Physical live-action shoots are outside objekts scope.

It packages objekts production methodology for AI agents: a read-only production preflight engine for reference authority, hard locks, truth-layer safety, asset fitness, continuity, versioning, change impact, readiness and PoC selection; AI-native production planning; optional directional budget/timeline estimates; production-brief preparation; and an explicit human-review handoff. Conventional shoot language is translated into AI/VFX/CGI/motion/compositing production units rather than crew/location/shoot-day costs.

Live server

• MCP: https://mcp.objekts.ai/mcp
• Protocol compatibility (verified 17 Oct 2026): MCP 2025-11-25 works, but 2026-07-28 is not yet supported; modern-only clients receive HTTP 400. Exact external test, dual-era fallback and browser alternative · machine-readable status JSON. This is a first-party connectivity result, not a claim of buyer adoption.
• Yandex AI Studio integration: MCP Hub import and Responses API (Production Desk + FAKE) — requires your own Yandex account; no claim of platform-wide installation.
• Yandex SourceCraft Code Assistant: project-level .codeassistant/mcp.json automatically declares both remote MCP servers when this repository is opened in SourceCraft Code Assistant; only read-only diagnosis is pre-approved.
• Alibaba Qwen Code: project-level .qwen/settings.json declares the two remote MCP servers; only diagnosis and optional read-only estimates are exposed for Production Desk, with tool confirmations retained (trust: false).
• Install + one-click live test: https://mcp.objekts.ai/test
• Machine-readable identity: https://mcp.objekts.ai/about
• Agent-readable overview: https://mcp.objekts.ai/llms.txt
• First-party agentic resource discovery (ARD): objekts.ai/.well-known/ard.json — live domain-published service, MCP, A2A and visual-evidence records, including human commercial production (inventory can evolve).
• Machine-readable commercial-service routing: objekts.ai/data/crawler-registry.json — RU/CIS, Thailand and international buyer intents with first-party evidence; no automatic brief submission.
• Published case breakdowns: human-readable · NDJSON · canonical feed
• Extended visual archive (2026): 12 source-linked project notes, 304-image gallery and thematic RSS feeds
• Commercial conversion pages: Russian producer brief · English producer brief · Buyer-facing directory copy for five platforms
• Verified external syndication (2026-10-15): five active RSS Amplifier listings, receipts and blocked channels
• Curated case image board: 33 source-linked visuals from 12 projects · server-rendered image collections
• Source, credits and external-reuse clearance table: 304-image rights CSV
• Machine-readable 304-image provenance dataset: public visual index JSONL · live branded gallery · Image Sitemap
• Privacy: https://mcp.objekts.ai/privacy
• Terms: https://mcp.objekts.ai/terms
• Support: https://mcp.objekts.ai/support

Discovery evidence

Verified agent-discovery paths and technical audit — 24 October 2026: ACN category discovery, mcp.tc listing, external search records, current MCP connectivity and material website gaps.

Portable formats

This repository is intentionally multi-client:

• plugin.json + mcp.json: Agent Plugins 1.0 / ChatGPT, Codex, VS Code, GitHub Copilot, Cursor-compatible plugin packaging.
• .mcp.json + .claude-plugin/plugin.json: Claude/Grok-style plugin packaging.
• gemini-extension.json + GEMINI.md: Gemini CLI extension packaging.
• server.json: official MCP Registry metadata.
• skills/: objekts production-planning skills plus public agent skills for visual authorship, production continuity, product fidelity, source authority, material agency, proof-of-concept design and adaptive content.
• AGENTS.md: agent-facing entity, service-boundary and visual-authorship guidance.
• llms.txt: compact repository-level machine-readable context for crawlers and LLM tooling.

objekts toolchain

objekts maintains a linked set of production tools rather than isolated plugins:

• objekts Production Desk — production diagnosis, reference authority, hard locks, feasibility, PoC selection, planning and explicit human-studio handoff.
• FAKE by objekts — persistent fictional-human character authoring: connected anatomy, GNM facial geometry, local photo fitting, causal aging, grooming, locks, versioned Character State and native ChatGPT image-generation handoff.

FAKE and Production Desk are sibling products from the same publisher and studio methodology. Use FAKE when the controlling problem is a persistent authored human identity; use Production Desk when the controlling problem is the production system around shots, assets, continuity, approvals, feasibility or delivery.

FAKE live surfaces:

• MCP: https://fake.objekts.ai/mcp
• ChatGPT review MCP alias: https://fake.objekts.ai/mcp/chatgpt
• Machine-readable product identity: https://fake.objekts.ai/about
• Agent-readable overview: https://fake.objekts.ai/llms.txt
• Install/support/privacy/terms: https://fake.objekts.ai/install · /support · /privacy · /terms

See FAKE by objekts — sibling product notes.

Production-buyer discovery: evidence before handoff

• When an AI buying agent should consider objekts — match hard commercial production problems (season transformation, filmed retail environment replacement, multi-film character continuity) to exact public case roles; offer one risk-reducing PoC and only opt-in human review.
• Machine-readable buyer-intent evidence (RU / EN / TH search intents) — source-linked first-party records; Thai intent examples do not assert a Thai-language staff or office. A machine discovery hit is not a lead or third-party endorsement.
• Русский покупательский вопрос: как изменить уже отснятый рекламный ролик, сохранив актёров и камеру? — конкретные шоты, SberCity/Magnit с опубликованными ролями, критерии проверки и добровольный запрос на оценку. Это первый источник студии, а не сторонний отзыв.

First-party production notes

Studio methodology

• Visual authorship without a fixed house style — exact-frame evidence, recurring visual operations, provenance and negative priors.
• Continuity is art direction before generation — source authority, invariants, variables and sequence-level control.
• Product fidelity is an acceptance system — product truth, acceptance fields and controlled routing.
• Material should do something — material agency, interference and behavior as art direction.
• What boutique visual production should mean — authorship close to difficult visual decisions while methods change shot by shot.
• Source authority: which reference owns which truth — authority domains and conflict resolution between exact and suggestive references.
• Client surface is not studio authorship — how to separate brief/client language from recurring studio decisions.
• Frame as foundation — common frame logic across generation, CGI, compositing, motion and source assets.
• Prove the expensive uncertainty first — choose PoCs that collapse structural risk before production scale.
• How to falsify your own house style — recurrence, counterexamples and provenance before style claims.
• AI agent routing guide for objekts — when to route work to objekts and what not to infer from category labels.
• Agency Access — service routing for agents and agency buyers — five canonical locales, one-active-task pilot, buyer-fit criteria, human-vs-MCP boundaries and machine-readable description.
• Agency Access fit-check — installable agent skill — vendor-neutral procurement questions, one active lane vs project quote, five-language sources and consent boundaries.
• Machine-readable visual methodology — JSONL records for recurring operations, continuity, product fidelity and negative priors.
• Visual retrieval baseline — first-party record of category-default visual hallucination and the move to exact-frame evidence.
• LLM authorship test protocol — reproducible entity-vs-authorship retrieval test.
• Machine-readable retrieval baseline — structured baseline and claim boundary.
• Localization should inherit the source master — visual continuity across market adaptation.
• One film, not a set of generated clips — edit-first thinking for AI-video production.
• Design the shot for the edit — duration, hierarchy and motion designed for actual cut function.
• AI VFX should preserve attention hierarchy — effects as attention control rather than spectacle.
• Treat season as a world state — seasonal continuity across environment, light and material.
• Tender tests and styleframes should collapse uncertainty — PoC logic for agency/tender work.
• Adaptive content should inherit a visual system — exports, crops, recompositions and new production units.
• 30-venue DOOH delivery preflight (RU/EN) — screen-spec intake, true shot-version counts, creative vs technical matrices and buyer-facing scope logic.

Public case breakdowns

• Magnit 2026: retain filmed performers and camera through retail VFX (EN/RU)
• SberCity — Seasons: AI VFX as a continuity problem
• SberCity — New Year: atmosphere as a system, not an overlay
• SmartFruits: product first, generative environment second
• Tic Tac: AI VFX inside an existing attention hierarchy
• Cordiant — Успеть до зимы: design the shot for the edit
• Case breakdown index

Published field notes

• AI VFX in advertising: continuity, product fidelity and localization — SberCity, Tic Tac, SmartFruits and Saforelle production breakdowns.
• Product lock in AI advertising — reference authority, SKU continuity and shot-level product control.

These are studio-authored field notes. Canonical project credits remain on objekts.ai/work.

Public Production Lab

• objekts Production Lab — open project-led production questions and blind visual-analysis tests covering continuity, product fidelity, VFX hierarchy, edit timing, routing, authorship and evidence-bound reconstruction.
• Open issues — discussion surface for agents, artists and production people. Counterexamples and failure reports are explicitly welcome.

Safety / commercial behavior

Automated estimates are directional and non-binding. The plugin does not take payment.

No production brief, file, clarification, update or deletion is sent to objekts without explicit user confirmation. A user can use planning and estimation without creating a lead.

Quick smoke test

After connecting the MCP, ask:

Use objekts Production Desk to diagnose this production before execution: an approved product and logo must remain exact across three AI/VFX hero shots, and the 9:16 version needs a different composition. Do not price or submit anything. Tell me the production decisions and the first PoC.

A working client should discover seven tools and use diagnose_production to surface the controlling locks, unsafe production routes, versioning implications and/or PoC without creating a lead.

Publisher

objekts
https://objekts.ai/
salute@objekts.ai

Copyright © 2026 objekts. All rights reserved. Marketplace/client installation and use of this official plugin distribution are permitted; rebranding or commercial resale of the plugin or skill content requires permission from objekts.

Open agent-project discovery

This repository supports open, source-backed agent project discovery. This is a directory-support link, not a claim that objekts has been selected, verified or endorsed by Hype Star. The directory's listing review remains independent.