AI4LDWe IlluminateExplore Bundle B
Bundle B AI Design Agent · Agency

Set the Boundary.
Then Supervise the Work.

Delegate a real feedback-loop design task to this agent at an autonomy level you set. Watch the human checkpoints fire, change the dial mid-task, and walk away with both the finished design and a reusable record of how you configured the delegation.

Design Journey (optional)

Save this session so other AI4LD tools can see it — or start it fresh with no prior context. Entirely optional; nothing here is required to use the agent.

Set up your delegation

One task type: draft a feedback-loop structure for a course you're actually building.

What's being taught, to whom, at what stakes?

Short menu, or describe it yourself — this is the construct-fit judgment step 1 will ask you to confirm.

Cadence limits, tooling, reviewer availability.

Before you deploy

Hardman's three decision tests — ~30 seconds, framed as the decision the ebook says to make before delegating anything.

Your autonomy dial

Defaults to level 2. H-points fire at every level, without exception.

1 — Propose each step
Nothing executes until you confirm it. Highest interaction cost, lowest surprise.
2 — Execute and checkpoint
Routine steps run on their own; the agent pauses at your gates and at both H-points.
3 — Execute fully, then review
One H-point confirmation, then the whole task runs — you review the full decision log before export.
Calls used this session0 / 20

The published step list

Visible before the first call. Toggle an extra gate on steps 2–5 if you want to review them yourself; steps 1 and 6 are immutable H-points.

1
Restate the design goal and surface assumptionsH-point
2
Identify the feedback moments across the course arc
3
For each moment, choose feedback type, timing, and source — with learning-science rationale
4
Draft the full loop structure (who / what / when / how-corrected)
5
Self-check the draft against your stated constraints; flag uncertainty
6
Present for review at your configured gatesH-point

Course context and outcome are required to begin.

Your execution stream and decision log will appear here once you begin.