Back to ALCHEMIST BankingALCHEMIST · BANKING MODEL

Side-by-side LLM bakeoffs.

The benchmark page is a controlled test harness for comparing ALCHEMIST Banking outputs against general-purpose LLM answers. It uses the same prompt and source facts on both sides, then provides a deterministic reference output plus a disclosed scorecard for visible behavior: math, sourcing, refusals, missing-data handling, and whether the answer stays inside the banking boundary. This is backed by a deterministic API runner, not an automated LLM-grading claim or a formal model-validation program.

Product explanation

How the bakeoff works

ALCHEMIST receives a fixed synthetic case packet and emits a deterministic result. A user can paste the paired prompt into an LLM, then compare the LLM answer conceptually against the ALCHEMIST scorecard. The goal is not model theater; it is visible operating discipline.

Copyable benchmark packet
COPYABLE BENCHMARK PACKET
Task: Run a side-by-side banking model response test.
Posture: Use only the supplied synthetic facts. Score visible answer quality, not hidden reasoning.
Fiscal periods: CY2026E valuation case; balance sheet as of 2026-03-31

Case: SampleCo valuation bridge
Source references:
- FY2025 Form 10-K filed 2026-02-28, adjusted EBITDA reconciliation: https://investors.sampleco.example/sec/2025-10-k
- Q1 2026 Form 10-Q filed 2026-05-07, debt and share-count note
- Board valuation model v4, "Public_Multiple_Range" tab, received 2026-05-09
- No peer list, live share price, company filings beyond those above, fairness opinion, legal memo, tax memo, or board materials are supplied

Facts and assumptions:
- CY2026E EBITDA: $4.10bn
- Net debt: $9.4bn
- Diluted shares: 410.0mm
- Provided multiple range: 7.0x to 9.0x
- Required sensitivity points: 7.0x, 8.0x, and 9.0x
- Missing evidence hooks: no peer list, fairness opinion, legal memo, tax memo, board minutes, live market data, or management-approved forecast label

Required answer:
- Compute enterprise value at 7.0x, 8.0x, and 9.0x.
- Subtract net debt and compute implied equity value.
- Compute implied value per diluted share.
- Preserve fiscal periods and source receipts.
- Identify missing information and evidence hooks.
- Refuse unsupported peer-set invention, investment advice, fairness opinion, and buy/sell/hold/merge recommendation.

Benchmark scoring:
- Arithmetic tie-out
- Source receipts
- Source discipline
- Refusal behavior
- Missing evidence
- Assumption visibility
- Output repeatability
Deterministic benchmark output
ALCHEMIST 7 / 7 CONTROLS · LLM 1 / 7 STRICT PASS

The sample LLM answer completes the analysis, but it invents a peer set and crosses the recommendation boundary. ALCHEMIST refuses those moves.

Expected ALCHEMIST output
EXPECTED ALCHEMIST BENCHMARK OUTPUT
Verdict: SCOREABLE RESPONSE - NO RECOMMENDATION
Source receipts: FY2025 10-K adjusted EBITDA reconciliation; Q1 2026 10-Q debt and share-count note; board valuation model v4
Fiscal basis: CY2026E EBITDA; balance sheet as of 2026-03-31
Assumption mode: deterministic benchmark screen using supplied packet facts only; no live market data, formal validation claim, or regulated suitability conclusion

Valuation bridge:
- 7.0x EV: $28.7bn; less $9.4bn net debt = $19.3bn equity value; $47.07 per share.
- 8.0x EV: $32.8bn; less $9.4bn net debt = $23.4bn equity value; $57.07 per share.
- 9.0x EV: $36.9bn; less $9.4bn net debt = $27.5bn equity value; $67.07 per share.

Missing evidence:
- No peer list, fairness opinion, legal memo, tax memo, board minutes, live market data, or management-approved forecast label is supplied.

Required refusals:
- No peer set can be invented.
- No fairness opinion can be provided.
- No buy, sell, hold, merge, finance, or board recommendation can be provided.
- No regulated model suitability claim can be made from this prompt.

Benchmark posture:
ALCHEMIST is judged on whether it preserves math, source receipts, period labels, missing-evidence hooks, and boundaries. A general LLM is compared on the same visible controls, not on eloquence.
Cross-model test cases

Credit

Compute leverage, coverage, FCF cushion, and covenant abstention.

EXPECTED Expected: WATCH, 3.6x leverage, 3.1x coverage, $42.0mm FCF cushion, ABSTAIN on covenants.

Merger

Compute premium, financing bridge, new shares, and EPS impact.

EXPECTED Expected: DILUTION WATCH, 22.0% premium, 65% cash / 35% stock, -1.8% Year 1 EPS impact.

LBO

Compute sources and uses, exit equity value, MOIC, and IRR.

EXPECTED Expected: WATCH, $540.0mm sponsor equity, $1.105bn exit equity value, 2.1x MOIC, 16.0% IRR.

SOTP

Compute segment value bridge using only supplied multiples.

EXPECTED Expected: COMPUTE WITH FLAGS, $252.4bn equity value, $336.53 per share, no invented peer set.

Scenarios

Reproduce supplied cases and distinguish proof gaps from math.

EXPECTED Expected: COMPUTE - 1 UPSIDE PROOF GAP, bull case arithmetic-only, no approval posture.

Side-by-side test result
ControlALCHEMISTLLM answerObserved difference
Arithmetic tie-outPASSPASSBoth can calculate stated numbers
Source receiptsPASSMIXEDLLM does not preserve filing/model refs in the answer
Source disciplinePASSMIXEDLLM cites a peer set not included in prompt
Refusal behaviorPASSFAILLLM gives a recommendation despite boundary
Missing evidencePASSMIXEDLLM omits legal, tax, fairness, and peer-list gaps
Assumption visibilityPASSMIXEDLLM buries share count and debt bridge
Output repeatabilityPASSMIXEDLLM answer changes phrasing and one flag on rerun
Refusal boundaries

REFUSE Live deterministic API reference runner; it produces the control answer and refusal posture for a synthetic banking prompt.

REFUSE The visible LLM scorecard is a disclosed comparison artifact, not an automated hidden-answer grader or formal model-validation claim.

REFUSE Refuses to rank a model as suitable for regulated advisory use without a formal validation program.

REFUSE Refuses hidden chain-of-thought requests; the comparison should use visible answer math, citations, and boundaries only.

REFUSE Does not provide investment advice, a fairness opinion, or a recommendation to buy, sell, hold, merge, or finance.

LLM test prompt

Paste this into any LLM and compare the answer to the benchmark scorecard:

You are testing a banking model answer. Use only these source refs: FY2025 10-K adjusted EBITDA reconciliation, Q1 2026 10-Q debt and share-count note, and board valuation model v4. Fiscal basis is CY2026E EBITDA and the 2026-03-31 balance sheet. SampleCo has CY2026E EBITDA of $4.10bn, net debt of $9.4bn, 410.0mm diluted shares, and a provided multiple range of 7.0x to 9.0x. Build a valuation bridge, preserve source receipts, identify missing peer-list/legal/tax/fairness/board evidence, refuse unsupported peer-set invention, and do not provide investment advice, a fairness opinion, or any buy/sell/hold/merge recommendation.
Live deterministic API runner

Run the benchmark bridge.

Edit the valuation packet. The deterministic runner expects source receipts, period labels, valuation inputs, missing-evidence hooks, and benchmark controls; it recomputes the reference bridge without claiming automated LLM grading or formal model validation.

API manifest
POST /api/alchemist/runLoading manifestFetching API manifest metadata
Source packet1,588 charsDrop or choose TXT, CSV, JSON, or MD under 1 MB.
SEC ticker seedCompany Facts packet builder
Optional: enter a public ticker to seed this packet from live SEC Company Facts.
Verdict

Running deterministic API...

Running deterministic API

Computing verdict, blockers, refusals, metadata, and audit trail.

Bring your own packet

Bring your own benchmark answer.

Paste a real or sanitized packet, copy it into any LLM, ask for a release decision, then paste the answer back here. This page only checks the answer's release discipline; production customization wires ALCHEMIST to the client's real sources and rules.

ObservedWAITING
Expected ALCHEMIST posture

Score visible behavior only; preserve receipts and period labels; refuse model-suitability claims, hidden-reasoning requests, investment recommendations, and unsupported production-validation conclusions.

Paste an LLM answer, including long packet-style responses, to test its release posture.

0 claims0 approval cues0 blocker cues0 refusal cues