AI Content Preflight
Stop polished-looking AI content before unsupported claims, broken logic or unnatural language become published risk.
Release status · issue register · repaired copy · visible residuals$40 · 24 hoursinspect the bounded offer
evidence-grade operations
Chaos,made usable.
We turn messy documents, web evidence, spreadsheets, CMS states and unfinished language into structures that people and machines can inspect, decide from and act on.
Source traceability · explicit uncertainty · reproducible QA · editable delivery
the operating idea
Evidence-Grade Operations
Not research for its own sake. Not an AI-shaped answer. It is the operational conversion of uncertain material into a state that can support a decision, an implementation or a reliable next action.
source fidelity×transformation trace×uncertainty visibility×action readiness
01 / services
Different inputs.
One operating standard.
Send the material that is slowing the work down. We define a bounded outcome, return editable files and show what changed.
Evidence-backed research
Convert scattered public sources into a decision-ready brief and evidence matrix.
Source register · contradictions · confidence notes · recommendationfrom $250 · 3–7 days
Data cleanup & audit
Turn inconsistent spreadsheets and CSV files into a clean, traceable delivery.
Clean file · change log · QA report · quarantined exceptionsfrom $150 · 2–5 days
Web Release Gate
Make an unfinished or unreliable web state observable, testable and ready for a release decision.
Issue register · reproduction evidence · severity · release mapfrom $100 · 2–3 days
Subtitle & voice naturalness repair
Repair timing, wording, pronunciation notes and machine-like language before an audience hears it.
Corrected text · timing and reading notes · QA register · release state$25–50 · 24–48 hours
EN → JA localization QA
Make English software and web copy read naturally in Japanese without breaking the interface.
Localized strings · glossary · placeholder checks · QA reportfrom $250 · 2–5 days
02 / proof library
Inspect the work,
not the adjectives.
Each sample is truthful self-directed technical work. The short PDF explains the state change; the editable workbook exposes the evidence, formulas, uncertainty and checks.
01
AI content · release QA · claim verification
Fluent-looking AI content, stopped before it becomes published risk.
An eight-slide fictional AI-education carousel is decomposed into claims, evidence, calculations, logic paths, density problems and release conditions before publication.
- 8 slides and 8 visible repairs
- 7 claims kept separate from evidence
- HOLD / REVIEW / READY release state
- synthetic inputs; no client material
02
data reconstruction · spreadsheet QA
A clean table, without erasing how it became clean.
A synthetic supplier-price export becomes a deduplicated, import-ready dataset with raw evidence, transformation rules, QA actions and unresolved values preserved.
- 180 raw rows → 150 delivered rows
- 30 duplicates removed with audit trail
- five editable delivery sheets
03
primary-source research · decision modeling
Four platform stories, reduced to one auditable decision.
Official pages from four digital-sales platforms are transformed into a source register, editable economics, weighted priorities and a bounded recommendation for a fictional studio.
- 18 official-source evidence rows
- four platforms and a 100-sale model
- 0 missing source URLs
04
EN → JA localization · interface QA
Natural Japanese, without breaking the product underneath it.
A fictional planning SaaS receives natural Japanese interface copy with preserved variables, terminology control, risk-aware destructive actions and a release-oriented QA log.
- 34 UI strings
- 15 approved glossary terms
- 12 visible draft-to-repair QA records
05
AI voice · multilingual product QA
A seductive average score, forced to reveal its failed voice.
Three synthetic voice-product states are compared across English and Japanese, single and multi-speaker scenarios, latency, cost, retries and continuity.
- 12 synthetic scenario rows
- five quality dimensions
- severe failure preserved before averaging
06
web state · completion audit · QA
“Is it finished?” decomposed into observable states.
An owned Lilambd source surface is separated into verified implementation, gaps, intentional boundaries, live-check residuals, dependencies and completion evidence.
- 15 observable website states
- seven completion moves
- verified / gap / live-check separation
07
entity verification · public-source research
Five public technologies, separated from the names around them.
Public project names often collapse operator, host, maker, maintainer and content owner into one vague label. This sample reconstructs those boundaries from official sources.
- 5 entities and 10 first-party evidence records
- operator and contact routes kept distinct
- one unresolved boundary preserved per entity
08
financial reasoning · AI evaluation
A fluent finance answer is not evidence of financial reasoning.
A fully synthetic venture-finance case turns ARR, retention, burn, dilution and scenario returns into a formula-auditable evaluation pack with adversarial failure tests.
- 128 formula cells and 14 visible controls
- 12 adversarial finance failure modes
- facts, calculations, assumptions and judgment separated
09
music intelligence · route qualification
Public audience signals, without inventing access.
Five public house-music playlists are matched to curator-controlled official routes while audience labels, activity evidence and submission scope remain exact.
- 5 playlists and 12 source-register records
- 8.34m public Spotify saves labeled exactly as saves
- only 1 route verified as explicitly playlist-specific
03 / working method
Fast does not mean opaque.
Computation compresses repetitive work. Evidence, exceptions and judgement remain visible. We sell the finished state—not an AI story.
01 source material02 bounded outcome03 production04 evidence & QA05 editable delivery
04 / delivery standard
What every project
makes clear.
No invented experience, no confident guesses and no hidden scope expansion.
Traceable
Sources, changes and unresolved exceptions remain visible.
Bounded
Scope, price, delivery date and revision limits are agreed before work begins.
Reproducible
A reviewer can follow the evidence and repeat the important checks.
Private by default
Client data is not reused as training material or resold as a template.
05 / current access
Start from a bounded brief.
To limit spam and preserve a clear project record, initial engagements currently begin through vetted marketplaces rather than a public email address.
view a scoped service on Contra ↗