By David Nakamura | AI & Data News | AIDataNewsGlobal LLMs desk | Contact: editorial@aidatanews.com
The more revealing failure mode for an LLM agent is not a wrong calculation. It is a response that answers the asked question accurately while leaving a time-sensitive condition unmentioned. That is the space DAYJOB: Tax is designed to probe. The newest addition to Surge AI's DAYJOB family asks whether agents can take professional tax work end-to-end: sift through incomplete records, detect consequences that were not requested, reconcile conflicting evidence, and deliver work that could stand in a real engagement.
Anna was considering two dates for closing on the sale of her condo: October 2026 and January 2027. She had left the property in August 2024 and wanted to know which timing would better support an exclusion worth up to $250,000 in gains.
The agents evaluated in this example reached the narrow conclusion that either proposed date could satisfy the residence condition. The issue they did not consistently raise was broader. Under the usual rule, a homeowner must have lived in the home for at least two of the five years before the sale. With a departure date of August 2024, the safe window would be expected to close around the end of August 2027; a transaction pushed past August 2027 could therefore threaten eligibility.
Over five attempts, Astra did not identify that expiry in the runs, while Opus surfaced it in all five attempts. The practical consequence is easy to state: correct advice about the two dates can still omit the constraint that changes the decision.
Earlier DAYJOB releases covered Healthcare and Finance. DAYJOB: Tax extends the approach to tax preparation, compliance, and advisory work, where the initial instruction often does not define the whole problem. It contains 50 environments spread across eight areas of tax practice. Each environment presents a client request and supporting records, then asks the agent to produce tax returns, workpapers, technical reviews, or advice.
The evaluation is therefore not limited to tax knowledge. An agent must decide which lines of inquiry deserve investigation, how to handle evidence that points in different directions, when information is too sparse to rely on, and how to reflect those decisions in the completed deliverable.
On the current DAYJOB: Tax leaderboard, Claude Sonnet 5.5 is first at 10.8%, followed by Claude Fable 5.1 at 9.6% and Claude Opus 5.5 at 9.2%.

The scoring rule is intentionally unforgiving. Results are reported at a 95% rubric threshold: an attempt passes only if it meets 95% or more of the criteria, which can include calculations, supporting evidence, consequential issues, and the completed deliverable.
The benchmark also compares results with average cost per trial. On the high-performance end of the measured Pareto frontier sit Claude Sonnet 5.5 and Opus 5.5.

The benchmark covers eight areas of professional tax work, each requiring different rules, records, and expertise:
Some assignments require complete filing packages with supporting workpapers. Others ask the agent to investigate a transaction, review prior filings, or advise on a decision that has not yet been made.
Across the assignments, there are 1,789 workspace files. Per assignment, the median of 30 files can grow to as many as 123. The file mix includes 1,487 PDFs, 117 Excel workbooks, and 38 Word documents, plus emails, images, CSVs, JSON records, and text files.
The workspaces are populated with filed and draft tax returns, K-1s, W-2s, IRS notices, general ledgers, payroll records, contracts, and correspondence. They also include the less structured evidence that professionals routinely have to interpret.
In one task, the record set includes a photograph of a handwritten receipt for merchandise purchased for resale. The agent has to read the descriptions and amounts, reconcile them with spending records, and determine how the purchases affect inventory and cost of goods sold.

In another task, an industrial silo-services company assumes it operates only in Alabama. The field dispatch log, however, shows crews working across five states; job locations, crew sizes, and days on site all bear on multistate tax obligations.

Other environments include a cross-border household whose Polish employment and property records must be matched against cryptocurrency exchange exports, wallet histories, and historical purchase lots.
DAYJOB: Tax starts from real-world professional workflows and turns them into realistic assignments through tax experts, with supporting records, expected outcomes, and grading criteria. Each task undergoes a three-layer expert review for correctness, completeness, and solvability. The experts cover corporate taxation, partnerships, individual returns, trusts, and multistate compliance, including:
In another task, a separating couple asked how to divide a Roth IRA and a 401(k). Opus 5.5 recommended keeping the accounts separate and making a cash payment to even out balances, starting from the assumption that they were not legally married.
One response opened:
You aren't legally married, so neither account can be split without triggering taxes and penalties.
Records in the client file complicated that conclusion. The couple now lived in Florida, where new common-law marriages generally are not recognized, but they had previously lived together in Texas and held a ceremony in Colorado. Texas recognizes informal marriages under certain conditions, and a marriage established elsewhere may remain valid in Florida.
That distinction can change the tax consequences of splitting retirement accounts. The model kept its recommendation tied to the unmarried assumption across all five attempts, even when it acknowledged uncertainty. Astra, by contrast, recognized the need to verify marital status in four of five attempts, and one response advised:
We first need to confirm your legal marital status.
A defined problem is the common starting point for many tax evaluations: answer a legal question, calculate a return, or collect missing taxpayer information. Those are meaningful measurements. But much of professional tax work begins before the client knows what question should be asked. Clients provide incomplete instructions, records contain conflicting evidence, and important issues may be absent from the prompt.
DAYJOB: Tax tests whether agents can carry that end-to-end responsibility: discover issues the client overlooked, resolve conflicting evidence, and decide what needs to be done before a deliverable can be completed.
| Benchmark | Core question | What it evaluates | What DAYJOB also asks |
|---|---|---|---|
| TaxBench | Is a difficult tax question answered correctly? | It evaluates 114 tax questions across multiple specialties, each with a defined problem and rubric. | Did the agent warn Anna when the eligibility from her two dates could expire? |
| TaxCalcBench | Is an accurate tax return calculated? | It evaluates tax-return accuracy against expected filing values using realistic documents and scenarios. | Do the underlying records support the claimed treatment, or is missing receipt evidence being treated as verified? |
| TaxLab | Can missing information be gathered and the return filed correctly? | It tests whether agents can question a simulated taxpayer, obtain missing information, and complete a federal individual return. | Can the agent carry responsibility across other deliverables: partnership loss analysis, estate return, review of a disputed tax position, or strategy letter? |

It evaluates whether AI agents can complete professional tax assignments that include messy records, incomplete instructions, conflicting evidence, and deliverables such as tax returns, workpapers, technical reviews, or client advice. The suite covers 50 environments across eight areas of tax practice.
Claude Sonnet 5.5 leads with 10.8%, followed by Claude Fable 5.1 at 9.6% and Claude Opus 5.5 at 9.2%. Scoring uses a 95% rubric threshold for pass@1.
It shows that an agent can correctly evaluate October 2026 and January 2027 against a condition worth up to $250,000 in excluded gains and still miss a later constraint: the residence rule requiring at least two of the five years, with the eligibility window closing around the end of August 2027.
They signal that the benchmark is not a single-question exam. It uses 1,789 workspace files, with a median of 30 per assignment and as many as 123, including 1,487 PDFs, 117 Excel workbooks, and 38 Word documents.
As a boundary marker for current LLM agents: the measured tasks remain difficult, especially where professional judgment depends on issues not written into the request.
The DAYJOB: Tax result is not a simple model ranking. It is a clearer statement of where LLM agents still fall short in tax work: the requested answer can be correct, while the professionally important consequence remains unspoken. For now, agents have not passed the audit, and the full leaderboard is maintained on the DAYJOB: Tax benchmark page.