Point Your Camera
Paper, whiteboards, handwriting — photograph the physical world into structured data.
TUTOR WITH THEFOCUS.AI
Copy this prompt into Claude, ChatGPT, or any external AI assistant. It points the assistant to the course instructions and links it to your student profile to track your progress and customize observations.
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Photograph the problem
A surprising amount of organizational knowledge is not digital. It is on paper, on whiteboards, on shelf labels, on the handwritten note the delivery driver left. The camera closes that gap in one tap.
Point your camera at a document and Claude does not just “see a picture” — it reads it. Tables come out as tables. Handwriting comes out as text. A photographed invoice becomes structured line items.
Cornwall Market runs on paper more than Sarah would like to admit. So she starts photographing things:
- A handwritten delivery note from Chen’s — “shorted 2 cases romaine, credit next invoice.” Photo → Claude extracts it → “Add this to the notes on Chen’s Produce: credit expected on next invoice for 2 cases romaine.”
- A supplier invoice that only exists on paper. Photo → Claude reads every line item, totals it, and — because this conversation is in the same account as everything else — categorizes it against the account codes she dictated two lessons ago.
- The whiteboard in the back office where staff scribble reorder needs all week. Friday afternoon: photo → “Turn this into a reorder list grouped by supplier.”
None of these are exotic AI feats. They are the mundane, constant translation work between the physical store and any digital system — the work that never got done because typing it in was never worth it. At ten seconds per photo, it is worth it.
Photograph three work things this week: a paper document (invoice, receipt, form), something handwritten (a note, a whiteboard), and a physical thing that carries information (a shelf, a label, a display). For each, ask Claude to extract the information into structured form — a table, a list, a draft entry.
Notice which one surprises you. For most people it is the handwriting.
Check your understanding
Answer in your own words — write it down before opening the key. Your tutor grades against the criteria and generates fresh variants on retries.
Q1. Name three non-digital information carriers in your actual workplace (paper, whiteboard, handwriting, physical objects) and, for one of them, what structured output you would ask Claude to extract from a photo.
Answer key — attempt every question first
Answer key
Q1
Model answer: Any three of: paper invoices/receipts, delivery notes, whiteboards, shelf labels, handwritten schedules, sticky notes, equipment plates. Extraction example must be structured: e.g. whiteboard photo → “reorder list grouped by supplier,” invoice photo → line items with amounts and dates.
Pass criteria: three plausible physical carriers; the extraction target is structured data (table/list/fields), not just ‘describe the photo’
Next: The Handoff