Surge AI launches DAYJOB: Tax benchmark to test AI agents on 50 tax scenarios
Surge AI has released DAYJOB: Tax, a new benchmark extending its DAYJOB series (previously covering healthcare and finance) into tax preparation, compliance and advisory work. The benchmark includes 50 environments across eight areas of tax practice, where agents must produce returns, workpapers, reviews or client advice based on client records. In one test case, an agent named Opus correctly flagged a critical eligibility deadline for a home-sale tax exclusion across all five attempts, while another agent, Astra, missed it every time.
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The example suggests that AI tax agents can get calculations technically right while still failing to surface consequential issues a client wouldn't know to ask about, which is a core expectation of professional advisory judgment. By building a benchmark that scores this kind of proactive reasoning rather than just factual accuracy, Surge AI appears to be positioning itself as an evaluator of whether AI systems are ready for high-stakes professional use. The gap between Opus and Astra's performance could indicate meaningful differences in how current AI models handle implicit professional responsibilities.
- Surge AI released DAYJOB: Tax, a 50-scenario benchmark testing AI agents on professional tax tasks.
- It builds on prior DAYJOB benchmarks for healthcare and finance, spanning eight areas of tax practice.
- A case study showed agent Opus caught a key tax-exclusion deadline in all trials while agent Astra missed it every time.
Source: surgehq.ai, 2026-10-28
Published there as: “Dayjob: Tax – evaluating AI agents on 50 professional tax assignments”
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