DANIEL MABALOT
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Proof-of-Work System

Content Operations OS for a Bilingual Law Firm

A content operations system designed around a realistic law firm workflow where one long-form educational video becomes YouTube content, short-form clips, blog drafts, newsletter content, Google Business updates, social posts, a content database, and reporting.

Industry: Estate Planning / Probate / Asset Protection

Built around a realistic business workflow to show how I map, structure, automate, document, and present operational systems.

System TypeContent Operations OS
IndustryEstate Planning / Probate / Asset Protection
WorkflowOne source asset into a publishing package
Core AssetContent database with status, owner, and channel fields
Operating StandardReview gates before public publishing

Case Study Artifacts

Credibility comes from the operating detail.

This proof-of-work system shows how I would structure, automate, document, and hand off this workflow for a real operating team.

Industry context

Estate planning, probate, and asset protection content carries high trust expectations. Educational material needs plain-language clarity, careful claims, bilingual publishing discipline, and review controls before it reaches search, email, or social channels.

Workflow problem

The long-form video is valuable, but the post-recording workflow can become scattered across transcripts, clip notes, blog drafts, newsletter ideas, channel metadata, publishing links, and performance tracking.

Starting point

The build starts with one flagship educational recording, a transcript, a bilingual topic angle, target practice area, CTA direction, and a list of channels that need a reviewed output.

  • Video title, topic, language, source link, recording date
  • Primary audience: families, executors, trustees, or business owners
  • Required review state before anything is marked ready

System architecture

The architecture separates intake, AI-assisted drafting, human review, publishing, and reporting.

Intake Source video, transcript, topic metadata Drafting Prompt library for channel-specific assets Database Status, owner, link, channel, language Review Legal accuracy, CTA, formatting, source checks

Automation map

Automation is used to prepare work, not to remove judgment from sensitive content.

Video logged Create source record Transcript stored Attach text and notes Brief drafted Summarize angle and audience Assets generated Create channel drafts Review queued Assign checks and owner Report updated Track completion and channel links

Database schema

The schema keeps every content object traceable back to the source video.

TableKey FieldsViewsReason Source AssetsTopic, language, transcript, CTA, ownerNew, in review, completeOne record of truth Channel OutputsAsset type, draft link, publish link, statusBy channel and due dateTrack every derivative asset QA ChecksAccuracy, formatting, CTA, links, ownerNeeds review, clearedPrevent unreviewed publishing ReportingCompletion, coverage, publish cadenceWeekly and monthlyMake content operations visible

SOP/checklist preview

  • Confirm topic, audience, practice area, and language before drafting.
  • Clean transcript and mark any unclear legal terms for review.
  • Create YouTube title, description, chapters, tags, and CTA.
  • Draft blog, newsletter, Google Business update, and social captions.
  • Verify links, CTA consistency, formatting, spelling, and review status.

AI prompt library preview

Transcript Brief Extract audience, topic, key questions, risk points, and review notes from this transcript.
Blog Draft Turn the reviewed brief into an educational article with a clear disclaimer-safe CTA.
Short Clip Angles Identify concise bilingual clip angles, each with hook, caption, and source timestamp.

Dashboard mockup

The dashboard gives the operator a quick read on what exists, what is blocked, and what is ready.

Source videos12Logged this quarter Review queue YouTube packages, blogs, newsletters, and social captions grouped by status and owner. Publishing cadence4Channel groups Topic coverage Probate, trusts, asset protection, family planning, Spanish-language education. Blocked items Missing CTA, transcript issue, review required, publish link missing.

QA controls

  • Claims and sensitive language require human review.
  • Drafts are separated from ready-to-publish assets.
  • Every asset keeps a source-video reference.
  • CTA, formatting, links, and language are checked before completion.

Implementation notes

I would build this with a lightweight database, channel-specific prompt templates, storage links, review states, automation triggers for task creation, and a reporting view that operators can understand quickly.

Proof

What this system proves

I can turn a sensitive content workflow into a structured operating system with source control, AI-assisted drafting, channel workflows, review gates, and reporting.

Next Build

What I would build next

A bilingual editorial calendar, role-based approvals, publishing calendar sync, asset reuse reports, and a monthly topic-gap review for future recording decisions.

Operating Value

Built for repeatability

The depth is in the artifacts: database fields, prompt structure, SOPs, QA checks, and dashboard views that make the workflow usable by a real team.

Let’s Build Your System

Need a content operations system with this level of structure?

Send the workflow you want to clean up. I can help map the system and make it easier to run.

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