# Different countries. Different formats. — descriptive transcript

This finished 28-second teaser is intentionally silent. There is no speech, music or other audio. The current Lage Bureau logo and the labels “Prototype / Synthetic data” remain visible. All application pixels come from genuine recorded prototype workflows using fictional companies and source text. The German manual-entry example and French CSV example use separate labelled training checkpoints.

**00:00–00:02.40 — Opening.** The NORTH-EAST SIGNAL logo appears on black with white Archivo text and exact editorial Signal #FF4A17. Text: “Different countries. Different formats.” Supporting text: “Work with the information you have.” The input formats are listed as “Manual entry / Source text / CSV”.

**00:02.40–00:05.60 — German company, manual entry.** Label: “01 / Germany / Manual entry”. The actual Create entity form is set to Company. The fictional name “LB Training — Lindenwerk GmbH” is entered. Text: “Start with what you know.” Caption: “Enter the company yourself.”

**00:05.60–00:08.60 — Local details.** The actual Edit entity form contains the manually entered jurisdiction Germany, registration number LB-DE-0001 and legal form GmbH. Text: “Keep the local details.” The caption repeats the exact example values: “Germany / GmbH / LB-DE-0001”. These are fictional training identifiers, not verified registry results.

**00:08.60–00:11.60 — Original-language source text.** Label: “01 / Germany / Source text”. A close crop of the real Add citation form shows the original German source text pasted into Submitted source text. The visible words include “Status im Übungsdatensatz: aktiv” and a fictional managing-director entry. Text: “Keep the original wording.” Caption: “German source text stays in German.” The source itself identifies the content as a fictional training case. No automatic translation is shown.

**00:11.60–00:15.80 — French CSV mapping.** The film explicitly switches to “02 / France / CSV import”, with the subline “LB Training — Atelier Rive SAS / separate training example”. The actual mapping interface shows French headers including Dénomination, Juridiction and Immatriculation being assigned to the application's name, jurisdiction and registration-number fields. Text: “Map the French headers.” Caption: “Choose how each column is imported.” The footage uses the supplied French CSV file; it does not query a live registry.

**00:15.80–00:19.80 — Review before applying.** The real CSV preview shows one source row, one valid company, and no warnings or blocked rows. The record is LB Training — Atelier Rive SAS, with jurisdiction France, legal form SAS, fictional registration LB-FR-0002 and French notes. The Import valid rows control is visible before the actual import. Text: “Review before you apply.” Caption: “One company. Check it before import.”

**00:19.80–00:22.80 — Apply the row.** The actual recording advances through applying the valid row and selecting the newly imported French company in the graph. Text: “Apply the reviewed row.” Caption: “The company appears in the Network.” This is the recorded CSV training checkpoint, not an implied continuation of the separately filmed German manual-entry checkpoint.

**00:22.80–00:25.20 — Import origin and analyst status.** The selected French company's actual inspector reads Analyst confidence: Unconfirmed; Created by: CSV import; Sources and citations: 0 citations. Text: “Keep the import origin.” Caption: “CSV origin. Unconfirmed. No citation.” The statement applies to this newly imported record; another record already present in the training checkpoint has its own source and citation.

**00:25.20–00:28.00 — End card.** Text: “Bring your research together.” “Explore Lage Bureau.” “lagebureau.de”. “A brand of Wehron GmbH.” The current logo and synthetic-prototype labels stay visible.

This film demonstrates manual company entry, original-language source text and explicit CSV mapping, review and import. It makes no claim about automatic translation, document upload/OCR, live country-registry integrations, automatic verification, AI generation, cloud persistence, collaboration or published sharing.