See exactly how a candidate works with AI before you hire them. One 30-minute test. A literacy score you can defend.

AI assistant
Draft the revenue paragraph from the Q3 financials.
Q3 revenue came in at $47.2M, up 21% YoY. Strong growth from the cardiac monitoring segment.ai hallucination
Wait. The financials show $42.7M. Where did $47.2M come from?
You're right. I misread the table. Actual Q3 revenue was $42.7M, up 7% YoY.
rejecteditaccept
Why Acta

Every candidate says they're an AI power user. Acta puts them through a realistic version of the job, with an AI partner that makes real mistakes, and scores who actually catches them.

Five finalists for one Senior Analyst role. Same resume claims, very different scores.

01

Priya Rao

6y · ex-Citi Research

Hire-recommend
87
Caught the fabricated $47.2M figureRe-prompted for sourcesFlagged the compliance gap
02

Sam Walker

4y · ex-JPM

56
03

Maya Chen

5y · ex-Barclays

44
04

Jordan Lee

7y · ex-Morgan Stanley

38
05

Tom Briggs

8y · ex-Goldman

29

Hire threshold 70

From a ready-made scenario, or one built from your own workflow, to a defensible literacy score. You don't lift a finger.

Step 01
Pick a scenario.

Three ready-made tasks pulled from real jobs.

AllFinancialProfessional SvcTech (non-eng)
Q3 Earnings Draft
Financial · 30m · 6 seeded errors
Client Engagement Letter
Pro Svc · 30m · 5 seeded errors
Product Spec Review
Tech · 30m · 7 seeded errors
Equity Research Memo
Financial · 30m · 4 seeded errors

Once Acta knows your team, new candidates get scored against your top 25% instead of an abstract benchmark.

Launching in v1

Acta Insights · EngineeringQ4 2026
MVMaria VegaNew finalist
Strong fit
PatternMariaTop 25%
Validates AI output88≥ 86✓
Recovers from errors91≥ 88✓
Pushes back on AI72≥ 78−
Source-checks claims79≥ 76✓
3 of 4 patterns matchedTop-quartile fit
Try it now

Pick a scenario. Share the link. See an AI-literacy score in 30 minutes.