/ Insights · MonoGrain Europe10 pieces · written by the people doing the work
Notes from theworking system.
What we're learning as we make, build and ship, written by the people doing it.

/Featured · Creative Production · 7 min
Production notes: directing an AI film pipeline like a film set
Anchors, continuity and why human taste is the only part of the pipeline that does not scale automatically.
/More writing
- AI AdoptionThe 8-hour audit: find the task eating your weekA practical method for finding the manual job that costs your team the most time and deciding what to do about it.6 min
- AI AdoptionChoosing the first workflow to automate: a scoring methodYou have a list of tedious jobs. Here is how to decide which one to automate first, and which ones to leave manual.5 min
- AI AdoptionAI consultant, automation agency, freelancer or do it yourself?What each option is responsible for, what drives its cost, who maintains the result, and when each one is the sensible choice.4 min
- AI AdoptionWhat an AI automation really costs: build cost versus running costThe quote covers the build. The total cost includes discovery, usage, monitoring, support and change. Here is how to see all of it before you commit.4 min
- AI AdoptionWho owns your AI workflow? Ownership and handover, explainedAccounts, credentials, exports, documentation, training and exit plans: what to agree in writing before anyone builds an automation for you.3 min
- AI AdoptionHow to test AI value before a bigger commitmentBaselines, narrow scope, acceptance criteria and a real go/no-go decision: how to run a trial that tells you something, rather than a pilot that goes nowhere.4 min
- Responsible AIWhen not to use AI: a short listSome jobs are not worth automating. Knowing when to stop is part of responsible AI adoption.3 min
- Responsible AIResponsible AI adoption: what ‘human in the loop’ has to actually meanA working definition based on review gates, clear authority and the difference between meaningful oversight and rubber-stamping.6 min