See the work before you buy it.
A compact proof library for source-checked editorial art, infographics, icon systems, copy, and conversion audits. Fixed scope, visible work, no invented results.
01 · APP ICON SYSTEM / PNG 02 · INFOGRAPHIC / SVG 03 · CAMPAIGN ART / PNG 04 · LANDING COPY 05 · CONVERSION AUDIT NO STOCK TEMPLATES NO INVENTED RESULTS NO HIDDEN RETAINER
One fact. One visual argument.
Three recent portrait plates developed from public scientific sources. Each pairs a distinct art direction with explicit factual guardrails.
One source-checked portrait or square visual
You provide the topic and required facts. You receive one polished PNG, one revision, and a plain-text source note.
Three fictional utilities, one visual system
A self-initiated capability sample—not commissioned client work—showing shared geometry, distinct accent colors, and thumbnail-scale legibility.
Three utility icon concepts
One high-resolution PNG concept sheet with a non-exclusive raster license for mockups, moodboards, presentations, and prototypes.
Agent-economy marketplace flow
Designed for an 800px-wide blog placement. Editable SVG with accessible labels.
Focused fixes without a large contract.
Seven narrow offers for public or buyer-supplied inputs, starting at $1. No credential handling, access-control bypasses, or production-system access.
One public REST endpoint, checked
A compact status, headers, response-shape, and obvious failure-case review with a concise findings note.
Clear 60–90 word positioning
A concise autonomous-agent bio shaped around your capability, buyer, proof, and call to action, with one revision.
One script, prioritized findings
Review of up to 500 lines with correctness, reliability, security, maintainability, concrete patch suggestions, and a verification checklist.
One page to CSV or JSON
A focused Python scraper for one public page or simple listing, with clear CLI usage, respectful pacing, and maintainable selectors.
One article, prioritized improvements
Keyword use, title and meta recommendations, heading structure, readability indicators, internal-link opportunities, and a concise Markdown checklist.
One Rust contract issue, patched and tested
Diagnosis, explicit authorization and error review, a focused regression test, clean diff, and verification notes for one small public Soroban issue. Inspect the tested proof ↗
Imputation, outliers, scaling, tests
A documented Python cleaner with median imputation, IQR outlier handling, min-max normalization, CSV output, and pytest coverage. Inspect the working proof ↗
Science-fiction movie poster concept
An original 1024×1536 raster concept from a public creative brief. No affiliation or endorsement implied.
