Evidence-led metadata automation with confident review.

A review-first media identification and tagging system that combines layered evidence, confidence-based approvals, verified writes, and recovery-ready manifests.

Review before update

Auditable updates

Recovery-ready

CASE MAP

01 OPPORTUNITY

DEFINE

02 SOLUTION

BUILD

03 ASSURANCE

ASSURE

04 VALUE

DELIVER

HOW THE SYSTEM CREATES VALUE

From opportunity to measurable value.

Each case study shows the opportunity, the solution, the assurance built in, and the value delivered.

OPPORTUNITY

Frame the opportunity.

Bring consistency and confidence to local audio and music-video organization through an evidence-led, operator-controlled workflow.

SOLUTION

Design a clear solution.

A Windows-first local workflow that combines embedded IDs, acoustic fingerprints, text matching, and optional provider corroboration to propose predictable filenames and tags.

ASSURANCE

Build confidence into the workflow.

Preflight, scan-only, and dry-run stages support informed review. Confidence gates prioritize corroborated matches, while journaled writes verify source state, metadata, renames, retries, and privacy-conscious diagnostics.

VALUE

Make the value visible.

A review-first automation system turns layered evidence into confident, auditable updates—with clear operator control and practical recovery support.

EXPLORE THE WORK

See the work in context.

Discuss the decisions, evidence, and outcomes behind this work.

View MediaTaggerBot on GitHub

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