Projects in Majanicho

Projects in MajanichoProjects in Majanicho

Cover image for Campaign landing-page prototype — synthetic

Campaign landing-page prototype — synthetic demonstration. A fictional coffee-kit launch, built as an editable HTML/CSS concept with seven sections, original SVG artwork and integration notes. The image is a design board, not a deployed client website. USD 300 pilot: one language, up to seven sections, one revision; target three business days after reviewing the brief, confirming feasibility and receiving approved materials. AI-assisted production. Static structure and anchor checks completed; browser rendering, keyboard interaction and live integrations remain untested for this sample. Product facts, prices and policies require buyer approval. No conversion results claimed. CMS implementation, forms/CRM, analytics, hosting, deployment and production access are outside the pilot. Send a brief, brand assets, intended CTA and target date through Contra to confirm fit.

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Cover image for Synthetic catalog preflight demo —

Synthetic catalog preflight demo — not client work. Arratz uses AI-assisted development and deterministic checks to make catalog changes traceable. This local 12-row example flags 9 rows with errors and proposes only 2 formatting changes. Duplicate IDs remain preserved; ambiguous prices and missing identifiers are never invented. The 11-test safeguard suite passed again on 22 September 2026. These are limited local checks, not a Google submission, acceptance guarantee or client result. Source files, before/after changes and unresolved exceptions remain separate.

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Cover image for Sales reporting with traceable totals.

Sales reporting with traceable totals. Aggregate order lines by product, calculate sales value and reconcile the report to source records. Deliverables: reusable calculation script, product summary and reconciliation checks. Illustrated with example data.

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Cover image for Inventory reconciliation. Match catalog records

Inventory reconciliation. Match catalog records to stock by SKU, separate missing records from zero stock and identify stock-only items. Deliverables: joined data and an exception list for review. Illustrated with example data.

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Cover image for Data cleanup and normalization. Consistent

Data cleanup and normalization. Consistent text and status values, duplicate IDs flagged for review, and original records preserved. Deliverables: cleaned data, exception list and change log. Illustrated with example data.

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