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The three AI failure modes

In an AI-assisted round you are scored on owning the decisions; showing off, racing and handing off each lose that.

Predict first

Before you read: predict

A replay from an AI-assisted practice round run in the format Canva describes: the brief for a checkout page lists eight features. In 50 minutes the candidate shows seven of them working. For each one he takes the assistant's first suggestion, clicks through it once in the preview and starts the next; he never opens the payment-retry file it wrote.

In the closing chat he says, "Seven of eight, so I think that went well." Going by Canva's interviewer guide as of 2026-10-01, how is this round most likely read?

Pick one

The 30-second version

Canva's interviewers name three ways an AI-assisted round goes wrong. AI Showcase puts the tool on display instead of solving the task. Feature Marathon races for more features, taking outputs on trust. Hands-Off gives the tool whole problems, design included. All three lose the evidence that is scored: that you understand and own the decisions. Keep the calls yours.

In an AI-assisted round you are scored on owning the decisions; showing off, racing and handing off each lose that.

How it works

Step 1 of 9

Three named patterns. As of 2026-10-01, Canva's interviewer guide names three ways candidates fall short in AI-assisted rounds. [S1]

Analogy: An architecture school's final crit, with parametric design software allowed

At the final crit, students may use parametric software that generates whole façades in seconds. One student spends her slot showing the jury the software's newest scripts while the library the brief asks for has no plan. Another pins up twelve generated façades, each kept as it came out. A third typed the brief into the generator; asked why the stair sits where it does, she says the software put it there. The jury marks design reasoning, and whether each choice is the student's own.

At the crit In the AI-assisted round
Demonstrating the software instead of designing the library AI Showcase
Twelve façades, each kept as generated Feature Marathon
"The software put the stair there" Hands-Off
The jury marking reasons and ownership The three scored areas
Setting the massing herself, letting the software vary the panels, culling them against the daylight brief Directing the tool and judging what it returns

Breaks down when: a jury mostly sees the finished boards and the talk, while an interviewer watches every prompt and acceptance live. Wrong inference: "only the end result counts, so the process can be fixed in the closing talk." A crit's rules also hold for years; interview formats changed within months.

In real terms: at each acceptance, the decision inside the output should be one you made or checked.

Examples, run for real

EXH-2230 is a synthetic replay of an AI-assisted practice round: an anti-cheat alert feed for the ExamHall admin console, from a five-item brief. The re-run of the same round, a week later, is MR !2530. It then runs each accepted feed handler against a fake feed of eight alerts whose first connection drops after alert 4, on a virtual clock.

EXH-2230 replay · brief items 5 · prompts 1 (the whole brief)
  design calls 3 · stated by the candidate 0 · left to the assistant 3 (transport, reconnect, duplicate alerts)
  generated files 6, 412 lines · opened before accepting 0 · edited 0
  feed across one dropped connection: alerts shown 4 of 8 · reconnects 0 · shows "offline" and stops
MR !2530 re-run · brief items 5 · prompts 6 (one part each)
  design calls 3 · stated by the candidate 3 · left to the assistant 0
  generated files 6, 192 lines · opened before accepting 6 · edited 3
  feed across one dropped connection: alerts shown 8 of 8 · reconnects 1 · resumed after alert 4

In the replay, all three design calls were made inside the generated code and nobody stated them, so the missing reconnect path was nobody's decision. The brief went out as one prompt and came back as the solution: the Hands-Off pattern of step 4.

In the re-run, the candidate stated the three calls before prompting, asked for one part at a time and opened every file before accepting it. How a feed should reconnect is fsd-realtime-transport's; here only the counts matter.

The ledger counts events in the author's fixture. It names no pattern and cannot tell whether a stated call was a good one.

Try it

Answer first, then check. Nothing is saved.

Question 1 of 5

In an AI-assisted practice round, the brief asks for a checkout coupon form with three validation rules. The candidate spends the first 20 minutes wiring a chain of three agents and a custom rules file, then walks the interviewer through a model-switching mode his editor released last week. While he sets the chain up, it drafts the three rules in seconds; he leaves them unopened and keeps tuning it. At minute 20 no rule has been tried in the form or discussed.

Of the three patterns Canva's interviewer guide names, as of 2026-10-01, which is this?

Pick one

Question 2 of 5

Twenty minutes into an AI-assisted round on a checkout shipping calculator, the interviewer asks: "If the carrier's rate API times out, what does the customer see at the total?" The candidate has not handled that case yet, and the assistant panel is open.

As of 2026-10-01, which response fits Canva's interviewer guide?

Pick one

Question 3 of 5

In an AI-assisted round on a checkout discount engine, the candidate has read the brief and listed what is still open, including how coupons combine.

With 40 minutes left, which request to the assistant fits how Canva's interviewer guide describes its strongest candidates working, as of 2026-10-01?

Pick one

Question 4 of 5

An interviewer keeps one note per candidate from four AI-assisted rounds on the same checkout task.

As of 2026-10-01, which note is evidence for the area Canva's interviewer guide calls AI Collaboration Effectiveness?

Pick one

Question 5 of 5

Two candidates finish the same AI-assisted checkout task. Ana writes out each function's inputs, outputs and edge rules, has the assistant write about 90% of the lines, and changes two of them. Ben types about 70% of the lines himself, but asks the assistant to design and build the whole price cache and drops it in as it arrives.

As of 2026-10-01, whose session fits the pattern Canva's interviewer guide calls Hands-Off?

Pick one

Go deeper

Pro tip

Record one practice round and replay only the moments you accepted output. At each, say aloud what you would have written without the tool; where you cannot, practise that part.

Checked against the tools and docs as of 2026-10-01.