item · 1009 × 772
Other P18 R04
not analysedother_p18_r04
Not read yet. Press Analyse crops, or read this one on its own.
1Read the crops34 crops · 0 readconfigured openai/gpt-5.6-terra-pro · about 39¢ for 34 crops · default
Every cropped image from the cropping run, page by page, with what the model read off it: view, objects, measurements, notes and labels. Click a crop to see it beside its JSON.
34 crops, none read yet.
Page 184 crops · 0 read
item · 576 × 559
Other P18 R05
not analysedother_p18_r05
Not read yet. Press Analyse crops, or read this one on its own.
item · 566 × 432
Other P18 R06
not analysedother_p18_r06
Not read yet. Press Analyse crops, or read this one on its own.
item · 5930 × 1130
Other P18 R07
not analysedother_p18_r07
Not read yet. Press Analyse crops, or read this one on its own.
Page 192 crops · 0 read
item · 5950 × 3850
Bar Reinforcing Schedule
not analysedbar_reinforcing_schedule_p19_r01
Not read yet. Press Analyse crops, or read this one on its own.
crop · 5950 × 3850
p19_r01 table of bar marks lengths bends for spans bent
not analysedgdot_plan_e3c637de8c6647eba3fd23b6ab6b0b59_p19_r01_table_of_bar_marks_lengths_bends_for_spans_bent
Not read yet. Press Analyse crops, or read this one on its own.
Page 202 crops · 0 read
item · 5950 × 3850
Bar Reinforcing Schedule
not analysedbar_reinforcing_schedule_p20_r01
Not read yet. Press Analyse crops, or read this one on its own.
crop · 5950 × 3850
p20_r01 tabulated bar mark length count and bend dimensions for bents and spans
not analysedgdot_plan_e3c637de8c6647eba3fd23b6ab6b0b59_p20_r01_tabulated_bar_mark_length_count_and_bend_dimensions_for_bents_and_spans
Not read yet. Press Analyse crops, or read this one on its own.
Page 212 crops · 0 read
item · 5950 × 3850
Bar Reinforcing Schedule
not analysedbar_reinforcing_schedule_p21_r01
Not read yet. Press Analyse crops, or read this one on its own.
crop · 5950 × 3850
p21_r01 tabular bar mark schedule for bridge bents and spans
not analysedgdot_plan_e3c637de8c6647eba3fd23b6ab6b0b59_p21_r01_tabular_bar_mark_schedule_for_bridge_bents_and_spans
Not read yet. Press Analyse crops, or read this one on its own.
2Map the itemsnot mapped yetconfigured openai/gpt-5.6-terra-pro · $2.00 → $12.00 per M · default
One set of distinct items across every page. The same bent read as “BENT”, “Interior bent” and “Bent No. 2” is one item here, carrying every page and crop it was seen in. One model call over all of step 1’s readings; the page mapping is resolved from its grouping rather than retyped by it.
Read the crops in step 1 first — there is nothing to group yet.
No items yet. Read the crops in step 1, then map them.
3Match the ontologynot matched yetconfigured openai/gpt-5.6-terra-pro · $2.00 → $12.00 per M · default
Every item from step 2 compared against the project’s engineering ontology, and then, for each one that lands in a class, a take-off of what that class asks for. The class list goes up as a closed vocabulary, so regional wording resolves without a synonym table — BENT to a pier system, PSC BEAM to a prestressed girder. Any class id that is not in the ontology is rejected rather than stored. The take-off reads every crop behind an item, derives what the drawings imply, shows its arithmetic, and says plainly when a number is not there.
Map the items in step 2 first — there is nothing to classify yet.
Nothing classified yet. Map the items in step 2, then match them here.
◈Index for the agentnot indexed · 0 points ready
Everything steps 1 and 2 know, written to the vector store for a chat agent to answer from. Cut fine — a point for each object, each measurement and each note, not one per crop — with the page, the crop and the drawing written into every one, so a retrieved number arrives with enough context to be an answer. The readings as a whole and step 2’s items are indexed too, for the questions that are about a drawing rather than a figure.
Re-runnable at any time: each point is keyed to the record it came from, so re-indexing replaces what changed, adds what is new, and drops what the drawings no longer support. Re-read a crop or correct one by hand, then press this.
Nothing to index yet — read the crops in step 1 first.
Collection mindmap_vectors, filtered on projectId = gdot_plan-e3c637de8c6647eba3fd23b6ab6b0b59.