Resources

A field library for working with AI agents

Learn how to build continuity, memory, delegated action, and visible control into everyday knowledge work with Navigic.

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Field libraryTutorials, courses, and use cases

Practical resources for carrying context, reviewing memory, and keeping agentic work accountable to the person responsible.

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Choose the lane that fits the work.

Tutorials

Short walkthroughs for setting up Argo, carrying context between sessions, delegating work, and reviewing outcomes before the next handoff.

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Courses

Structured paths for building a deliberate practice around AI agents, memory, continuity, visible control, and Mac-first work.

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Use cases

Outcome-first examples for people who need a steadier vessel for decisions, research, follow-through, and product feedback.

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Recommended resources

These entries are the first scaffold for the library. Preview cards stay unlinked until the full resource page exists.

Tutorial / Mac app / 10 min / Draft

Set up Argo for Mac

Prepare the Mac app, sign in, and confirm that your workspace is ready to carry active work through authenticated sessions.

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Tutorial / Continuity / 15 min / Draft

Create a continuity brief for one active loop

Turn a project, decision, or commitment into a durable brief that can be picked up without rebuilding the whole context.

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Course / Trust / 2 hours / Planned

Operating with visible AI agents

A course track for delegating work while keeping status, approvals, memory, and review points in view.

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Use case / Continuity / 20 min / Draft

Prepare a weekly operating brief

Use Navigic as a vessel for recurring context, open decisions, and reviewed next steps before a new week begins.

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Learning paths

Follow the work mode.

  1. Continuity

    Continuity for active work

    Build one durable vessel for a project, decision, or recurring brief, then review it as the work changes.

    Create a continuity brief for one active loop -> Prepare a weekly operating brief -> Memory and continuity fundamentals

  2. Delegation

    Delegation with visible control

    Move from manual follow-through to bounded handoffs with clear approvals, evidence, and review points.

    Review memory before delegating work -> Delegate a research task with approval points -> Delegation with boundaries

  3. Memory

    Memory that can be inspected

    Treat memory as working context that people can review, correct, and trust before it shapes delegated action.

    Review memory before delegating work -> Keep product feedback moving across sessions -> Memory and continuity fundamentals

  4. Trust

    Trust for agentic work

    Practice operating with agents through status, approvals, logs, and explicit review instead of invisible background motion.

    Review what changed after a handoff -> Review delegated work before it becomes a commitment -> Operating with visible AI agents

From resource to product

Bring one active loop aboard.

Explore the product direction, inspect Argo for Mac, or download the desktop app when you are ready to try the workflow.

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