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UI/UX & Agent-Experience Design · Playbook · Advanced · ~5 min read
UI/UX & AGENT-EXPERIENCE DESIGN · PLAYBOOK · ADVANCED

Map Autonomy Tiers and Plan-Visibility UI

An agent's autonomy should be a dial the user sets, not a property the model assumes. This playbook maps every agent action to a tier — suggest, preview, approve, auto — designs the plan-visibility UI that shows intent before execution, and specs progressive delegation so autonomy is earned through approval history.

Workflow area: Agent UX · Tier: Advanced · Hands-on time: ~45 minutes

The difference between an agent users adopt and one they disable is rarely capability — it's control granularity. Ship everything auto-execute and one bad Tuesday destroys trust permanently; ship everything behind approval and you've built a very slow form. The design move is per-action calibration: reversible-and-cheap earns automation early, irreversible-or-expensive may never earn it. Microsoft's HAX guideline 17 (provide global controls) and Shape of AI's agent-governance patterns frame the vocabulary; this playbook does the mapping for your agent, then designs the two surfaces that make tiers real — the plan preview before execution and the delegation settings users actually understand.

When to use — and when not to

  • Use it before your agent's first action executesautonomy retrofitted after an incident is designed in apology mode, and it shows.
  • Use it when "add an agent" appears on the roadmapthe tier map is the design artifact that turns a vague agent ambition into scoped, reviewable behavior.
  • Use it when users bulk-disable automationan all-or-nothing autonomy switch being flipped off means the tiers were wrong or invisible.
  • Skip it for pure content generationa feature that only drafts text the user then uses has one tier (suggest); this playbook starts mattering when actions touch the world.
  • Skip progressive delegation for single-session toolsearning autonomy over time requires a relationship; a one-shot tool should just ask every time.

The recipe

  1. Enumerate actions, not features. List every distinct thing the agent can do as verb-object pairs: "send email," "create calendar event," "apply code change," "delete draft," "purchase upgrade." Then score each on two axes: reversibility (fully undoable / undoable-with-effort / irreversible) and blast radius (private to user / visible to others / affects money, data or systems). This grid is the raw material for tiering.

  2. Assign each action to one of four tiers. Write the mapping as a table:

    • Suggest — agent recommends; user performs the action themselves. For irreversible + high blast radius.
    • Preview — agent prepares the complete action (the drafted email, the exact diff) and shows the finished artifact; user fires it. For anything visible to others.
    • Approve — agent will execute on a yes; the yes is per-action. For reversible actions with moderate radius.
    • Auto — agent executes and reports. Reserved for reversible, private, low-cost actions — and even these log visibly (pb-46).
  3. Red-team the mapping before you commit.

    You are reviewing an agent autonomy map for failure modes.
    Agent purpose: [DESCRIPTION]
    Action tier map: [PASTE TABLE: action → reversibility → blast
    radius → tier]
    
    1. For every AUTO action, write the worst plausible outcome of it
       running 50 times unattended with a subtly wrong goal.
    2. For every APPROVE action, estimate approval fatigue: how many
       times per day will a typical user see this prompt? Flag
       anything over ~5/day as a fatigue risk that trains blind
       clicking.
    3. Identify actions whose tier should CHANGE with context (e.g.,
       "send email" to a teammate vs. a customer) and propose the
       context rule.
    Do not soften findings.
    

    The fatigue analysis usually restructures the map — approval prompts users see constantly become rubber stamps, which is worse than honest automation with a good log.

  4. Design the plan-visibility surface. Before a multi-step run, the agent shows its plan as an editable checklist: steps in order, each tagged with its tier badge, tools it will touch, and estimated scope ("3 emails, 1 calendar event"). Users can remove a step, demote a step to approve-first, or run it. During execution the same surface becomes live status — done, in progress, awaiting approval. The plan is the contract; nothing executes that wasn't on it.

  5. Spec progressive delegation as visible mechanics. Autonomy upgrades should be earned and offered, never silent: after N consecutive approvals of the same action with no edits, the product offers "You've approved 10 drafts unchanged — auto-send simple replies like these?" Spec the offer copy, the scoping (this action, this context — not the whole agent), the decline path with no re-nag for a set period, and the demotion trigger: any undo or rejection drops the action back a tier automatically. Trust that only ratchets up is a dark pattern; the dial must turn both ways.

  6. Put the whole map in the product. A settings surface shows every action at its current tier, with plain-language descriptions and per-action controls. The map you built in step 2 is the spec for this screen — if it's too complicated to render as settings, the tiering is too complicated to trust.

Make it yours

  • Figma tier-badge kit: design the four tier badges as components with consistent color and iconography, then reuse them across plan previews, activity logs and settings — one visual language for autonomy everywhere it appears.
  • Claude Project as autonomy registrar: keep the action-tier table in Project knowledge; every new agent capability gets scored against the same grid, and the "worst plausible outcome ×50" test runs before any action lands in auto.
  • Enterprise deployments: add an admin layer — org policy sets the ceiling per action (nothing above preview for external email, say) and users tune within it; design both surfaces from the same map so admin and user views never contradict.

Quality check

  • Every action has exactly one tier with a written reasonreversibility and blast radius cited, not vibes.
  • Nothing irreversible sits in auto or approve-without-previewthe finished artifact is always seen before anything the user can't take back.
  • Approval fatigue was measured, not guessedprojected prompts-per-day informed the map; no approval gate exists that users will see twenty times daily.
  • The plan preview is editableusers can strike or demote steps, not just accept the whole plan or nothing.
  • Delegation moves both directionsan undo or rejection demotes the action automatically; promotion always asks first.
  • The settings screen renders the real mapwhat users see as controls matches what the agent actually consults at runtime.
Note

Plan previews and approval prompts routinely display customer names, message content and account details — apply your data-minimization rules to these surfaces too, and keep agent action logs inside approved infrastructure rather than pasted into outside tools for debugging.

Key Takeaway:

Autonomy is calibrated per action, not per agent — map reversibility against blast radius, show the plan before anything runs, and let approval history ratchet delegation up while any rejection ratchets it straight back down.

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