Drop
Publish a bounded, source-led body of work.
The work lives here, and moves freely.
Each drop is a source-led release designed to become many attributed forms—built for particular platforms, audiences, and uses.
Every drop is built to compound.
The release is not the end of the process. It becomes the stable source for a repeatable cycle of adaptation, distribution, learning, and improvement.Distribute
Shape it for a specific format, audience, and use, then move it through platforms, partners, publications, and public settings.
Learn
Observe what travels, what returns people to the sources, and what becomes useful.
Improve
Apply what was learned.
One body of work can take many useful forms.
The same documented source body can meet different publics without pretending that every format does the same job.Social + video
Threads, carousels, captions, scripts, voiceovers, clips, and episodes identify the originating drop and distinguish quotation, adaptation, and commentary.
Editorial + education
Essays, editions, lessons, and presentations cite the canonical release and preserve source-level references wherever the format permits.
Events + exhibitions
Public programs and displays identify the originating work and give audiences a usable route into its evidence, context, and limitations.
Products + tools
Material adaptations carry attribution, rights information, and a durable path back to the source body from which they were made.
Measure what compounds.
Documentation plus distribution changes the record.
A photograph compounds only when it is published where people already look, discoverable, reusable, and connected to enough context to remain useful. The work builds that durable visual record for journalists, educators, researchers, Wikipedia editors, search engines, and AI systems. A beautiful photograph left on a hard drive cannot fill a public gap.
The first sprint proves the method.
Three months test what to document, how to caption it, where to publish it, and what actually gets found or reused.
- Month 1 — Secure access, set the target list, make the first photographs, and test the workflow.
- Month 2 — Concentrate production and publish continuously.
- Month 3 — Fill the remaining gaps, measure results, and document the model.
Five outcomes show whether the work is useful.
Reach provides context, but these signals show whether the work is actually entering and improving the public record.
- Useful images produced
- Images successfully published
- Important visual gaps filled
- Outside discovery or reuse
- Pages or public records improved
Taglit can scale the method without creating a mass upload.
Small groups receive different documentation missions so they produce complete, useful packets instead of hundreds of duplicate photographs.
- Each mission defines a target, required photographs, facts to verify, consent rules, and a clear output.
- Central standards and software can assign missions, reduce duplication, improve captions, support verification, and flag sensitive material.
- Participants who continue can learn rights handling and publish through Wikimedia and other appropriate channels.
Care sets the limits.
Access, consent, privacy, attribution, and accessibility remain conditions of the work—not performance numbers. Victim memorials and other sites of grief require particular restraint; documentation must never treat grief as content.
Read the publication safeguardsThe first sprint proves the method. Taglit is how the method can scale.
