Built-in AI Capabilities

Use North Star and specialist agents inside product workflows

Taskcenter-built workflows are not just static pages. North Star can plan, inspect, delegate, and explain, while specialist agents can produce reports, assets, files, and evidence.

Large Language Model (LLM)

North Star can plan, inspect, delegate, and summarize. The important product behavior is deciding when to read evidence, create structured work, ask for approval, or hand a bounded task to a child agent.

Use CaseExample Prompt

Project-aware chatbot

"Summarize the current project, identify the next blocked task, and propose one safe action."

Work decomposition

"Turn a request into an epic, tasks, acceptance checks, and subagent assignments."

Evidence review

"Inspect run output, attached files, and browser evidence before saying work is finished."

Routine creation

"Create a weekday routine that reports real blockers with linked evidence."

Image generation

Visual work should keep prompts, references, generated assets, revisions, and final files connected to the task instead of disappearing into chat text.

Available LLM models

Users should pick a simple North Star tier while the runtime maps that choice to provider, budget posture, and tool depth.

Use CaseExample Prompt

North Star Lite

"Fast chat, routing, and short planning."

North Star Pro

"Multi-step work, research, and subagent coordination."

North Star Max

"Long-running, evidence-heavy work."