AI Task Assembly: Difference between revisions

From ACT3ai MediaWiki
Jump to navigation Jump to search
(Created page with "= AI Task Assembly = == Overview == The AI Task Assembly system is the orchestration core of ACT 3 AI, managing the modular and scalable execution of AI-driven tasks. It is responsible for turning user inputs into structured, repeatable generative video workflows. == 1. Purpose & Vision == AI Task Assembly was built to: * Abstract complex creative processes into modular AI tasks * Support a multi-tenant SaaS environment * Enable scalable orchestration of generative AI...")
 
No edit summary
 
(3 intermediate revisions by the same user not shown)
Line 1: Line 1:
= AI Task Assembly =
== Overview ==
== Overview ==
The AI Task Assembly system is the orchestration core of ACT 3 AI, managing the modular and scalable execution of AI-driven tasks. It is responsible for turning user inputs into structured, repeatable generative video workflows.
The '''AI Task Assembly''' in [[ACT3AI|ACT 3 AI]] orchestrates the breakdown of creative work into discrete, automated tasks.
 
It ensures that scriptwriting, [[Digital_Actors|digital acting]], [[Camera_Movement|camera movement]], and rendering jobs are structured into a clear pipeline.
== 1. Purpose & Vision ==
By automating task dependencies, AI Task Assembly enables faster iteration and smoother collaboration across the platform.
AI Task Assembly was built to:
* Abstract complex creative processes into modular AI tasks
* Support a multi-tenant SaaS environment
* Enable scalable orchestration of generative AI models
* Allow seamless extensibility and iteration
 
== 2. Primary Use-Cases ==
* Expand a one-sentence idea into a full script
* Automate camera movement and blocking
* Manage render queues across scenes and acts
* Integrate iPhone motion capture or voice into generative shots
* Generate pre-visualizations of TV episodes or films


== 3. System Architecture ==
== Key Capabilities ==
=== Core Concepts ===
* '''Automated Breakdown:''' Convert [[Script_Editing|script edits]] or [[AI_Wizard|AI Wizard]] outputs into granular AI tasks. 
* '''Abstraction Layer:''' Reduces actions into TaskObject and PipelineObject structures
* '''Dependency Management:''' Link [[Characters]], [[Scenes]], [[Shots]], and [[B-roll|B-Roll]] to ensure correct sequencing. 
* '''Execution Layer:''' Interfaces with 3rd-party models (e.g. Google Veo, Runway)
* '''Parallel Execution:''' Run multiple AI jobs (e.g., [[Google_Veo_3|Google Veo 3]] render + [[Runway|Runway Integration]]) in parallel. 
* '''Iteration Layer:''' Supports re-generation with modified parameters
* '''Task Prioritization:''' Optimize credit and compute usage with priority queues. 
* '''Collaboration Ready:''' Teams can view task progress in the [[Render_Queue|Render Queue]] and assign overrides.


=== Design Principles ===
== How to Use ==
* Modular and extensible
# Inside the [[Editor]], select **Assemble Tasks** from the project menu. 
* Fault-tolerant task processing
# Review automatically generated tasks tied to your script’s [[Scenes|scenes]] and [[Shots|shots]]. 
* Compatible with new model integrations
# Optionally adjust settings (task order, priority, credits). 
# Start execution: tasks are dispatched to the AI engines (e.g., [[Wan|WAN AI]], [[Google_Veo_3|Google Veo 3]], [[Runway|Runway]]). 
# Monitor progress in the [[Render_Queue|Render Queue]] and review previews.


== 4. Data Model & Abstractions ==
== Pricing & Credits ==
* '''TaskObject:''' Contains metadata, inputs, outputs, and version history
* Each task consumes credits according to its category:
* '''PipelineObject:''' Collection of task definitions tied to creative workflows
** Writing tasks: low credit cost. 
* '''TaskGraph:''' A DAG used to resolve dependencies and concurrency
** Digital actor rendering: medium credit cost. 
** High-fidelity renders (Veo3 / Runway): higher credit cost. 
* Bundling tasks in a sequence reduces redundant credit usage. 


== 5. Security, Multi-Tenancy & Billing ==
== Troubleshooting & Tips ==
* Organization-level isolation for all data and compute resources
* If tasks fail, check [[Credit_System|credit balance]] and network conditions. 
* RBAC enforcement for permissions and execution scope
* Use smaller test clips before triggering full production renders. 
* Usage-based credit metering tied to every AI task
* Adjust dependencies so that dialogue and visual assets align correctly. 
* Secure APIs keyed by Org-ID with re-authentication on sensitive actions
* For complex sequences, split task batches into multiple assemblies. 


== 6. User Experience ==
== Example Workflow ==
* Visual editor and timeline UI for task creation
{| class="wikitable"
* Real-time status indicators and progress tracking
! Input
* Support for versioning, retrying, and branching edits
! AI Task Assembly Output
* Feedback loop for human-AI collaboration
! Next Step
|-
| Script draft in [[Editor]]
| Breakdown into beats, scenes, and shot tasks
| Review in [[Timeline_&_Storyboard|Timeline & Storyboard]]
|-
| Character notes
| [[Digital_Actors|Digital Actor]] tasks with performance prompts
| Insert into scene assembly
|-
| Scene with action + camera notes
| [[Camera_Movement|Camera movement]] and [[Lighting]] tasks
| Send to [[Render_Queue|Render Queue]]
|-
| Final assembly
| Batch rendering tasks
| [[Build_Video|Build Video]] export
|}


== 7. API & Extensibility ==
== See Also ==
* Public API for integrating with external render systems
* [[AI_Wizard]] 
* Plugin support for custom TaskObjects or prompt nodes
* [[Characters]] 
* Marketplace-ready for commercial prompt/task pack modules
* [[Digital_Actors|Digital Actors]] 
* [[Timeline_&_Storyboard|Timeline & Storyboard]] 
* [[Render_Queue|Render Queue]] 
* [[Build_Video|Build Video]] 


== 8. Operations, SLOs & Roadmap ==
[[Category:ACT 3 AI Features]]
* <3s scheduling latency goal for queued tasks
* 99.5% platform uptime SLA
* Roadmap includes:
  * Plugin store for third-party models
  * Preemptive resource reservation for high-priority projects
  * Analytics dashboard for workflow timing and credit spend


== 9. Glossary ==
[https://act3ai.com/contact Contact Us] if you have any problems using our product, or if you have questions.
* '''TaskObject:''' The smallest unit of AI work, including metadata, inputs, and outputs
* '''PipelineObject:''' A reusable sequence of task types
* '''TaskGraph:''' Dependency map for resolving execution order
* '''Org-ID:''' The organization-level container for permissions and billing
* '''MoCap:''' Motion capture data for animating digital actors

Latest revision as of 06:10, 27 August 2025

Overview

The AI Task Assembly in ACT 3 AI orchestrates the breakdown of creative work into discrete, automated tasks. It ensures that scriptwriting, digital acting, camera movement, and rendering jobs are structured into a clear pipeline. By automating task dependencies, AI Task Assembly enables faster iteration and smoother collaboration across the platform.

Key Capabilities

  • Automated Breakdown: Convert script edits or AI Wizard outputs into granular AI tasks.
  • Dependency Management: Link Characters, Scenes, Shots, and B-Roll to ensure correct sequencing.
  • Parallel Execution: Run multiple AI jobs (e.g., Google Veo 3 render + Runway Integration) in parallel.
  • Task Prioritization: Optimize credit and compute usage with priority queues.
  • Collaboration Ready: Teams can view task progress in the Render Queue and assign overrides.

How to Use

  1. Inside the Editor, select **Assemble Tasks** from the project menu.
  2. Review automatically generated tasks tied to your script’s scenes and shots.
  3. Optionally adjust settings (task order, priority, credits).
  4. Start execution: tasks are dispatched to the AI engines (e.g., WAN AI, Google Veo 3, Runway).
  5. Monitor progress in the Render Queue and review previews.

Pricing & Credits

  • Each task consumes credits according to its category:
    • Writing tasks: low credit cost.
    • Digital actor rendering: medium credit cost.
    • High-fidelity renders (Veo3 / Runway): higher credit cost.
  • Bundling tasks in a sequence reduces redundant credit usage.

Troubleshooting & Tips

  • If tasks fail, check credit balance and network conditions.
  • Use smaller test clips before triggering full production renders.
  • Adjust dependencies so that dialogue and visual assets align correctly.
  • For complex sequences, split task batches into multiple assemblies.

Example Workflow

Input AI Task Assembly Output Next Step
Script draft in Editor Breakdown into beats, scenes, and shot tasks Review in Timeline & Storyboard
Character notes Digital Actor tasks with performance prompts Insert into scene assembly
Scene with action + camera notes Camera movement and Lighting tasks Send to Render Queue
Final assembly Batch rendering tasks Build Video export

See Also

Contact Us if you have any problems using our product, or if you have questions.

Retrieved from "https://wiki.act3ai.com/index.php?title=AI_Task_Assembly&oldid=574"