Anjin Media

Field notes

Thinking clearly about useful video.

Practical notes for teams turning long recordings and archives into precise, purposeful edits.

EDITORIAL SYSTEMS8 MIN READ

Clipping finds a moment. Composition builds an argument.

A practical framework for deciding whether a brief needs one isolated highlight or a structured edit assembled from many moments.

Read the field note

Workflow

02

One webinar, three editorial jobs

How to brief a promo, a speaker-led cut and an argument summary without producing the same edit at three different lengths.

7 MIN READ

Video archives

03

Your video archive is editorial infrastructure

A useful archive is not just stored safely. Its ideas, claims and exchanges can be found, verified and composed into new work.

9 MIN READ

Developer guide

04

The best AI video editing APIs, compared by what they actually do

A technical buyer’s guide to ingestion, search, planning, rendering, reviewability and the operational details that API feature tables usually omit.

12 MIN READ

Video archives

05

How to search inside video - not just find the file

A practical guide to transcript search, semantic retrieval, temporal grounding and the difference between finding a moment and making it usable.

10 MIN READ

Technical strategy

06

Build or buy an AI video editing pipeline?

A layer-by-layer architecture and decision framework for teams deciding what to own, what to integrate and where the hidden operational cost lives.

13 MIN READ

Agent workflows

07

AI agent video editing with MCP: the complete control loop

How an agent can explore footage, commission a cut, inspect the plan, request revisions and render - without removing human approval from consequential decisions.

11 MIN READ

Editorial operations

08

The B2B content repurposing system

A repeatable way to turn one expert recording into six genuinely different assets, with briefs, review gates and a distribution plan that prevents repetition.

12 MIN READ

Editorial governance

09

How to review AI-generated video without losing editorial control

An eight-part review framework for checking fidelity, coverage, context, representation, provenance and production quality before an AI-generated cut is approved.

10 MIN READ