item · 4052 × 2133
Bridge Deck And Foundation Half Plans
not analysedbridge_deck_and_foundation_half_plans_p01_r02Substructure
Not read yet. Press Analyse crops, or read this one on its own.
Mindmap builder
Structural Drawings_Pkg-1.pdf
1Read the crops8 crops · 0 readconfigured openai/gpt-5.6-terra-pro · about 5¢ for 8 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.
8 crops, none read yet.
Page 18 crops · 0 read
item · 2493 × 2233
Abutment A1
not analysedbridge_foundation_pile_layout_and_site_key_plan_p01_r01Substructure
Not read yet. Press Analyse crops, or read this one on its own.
crop · 2447 × 2200
p01_r01 key plan
not analysedstructural_drawings_pkg_1_bf0ab68f7b2c47f68d623e2ef3ea9505_p01_r01_key_plan
Not read yet. Press Analyse crops, or read this one on its own.
crop · 4006 × 2100
p01_r02 half plan showing deck level
not analysedstructural_drawings_pkg_1_bf0ab68f7b2c47f68d623e2ef3ea9505_p01_r02_half_plan_showing_deck_level
Not read yet. Press Analyse crops, or read this one on its own.
crop · 940 × 485
LEGEND
not analysedstructural_drawings_pkg_1_bf0ab68f7b2c47f68d623e2ef3ea9505_p01_r03_legendNotes
Not read yet. Press Analyse crops, or read this one on its own.
crop · 715 × 362
DETAILS OF HYDRAULIC DATA
not analysedstructural_drawings_pkg_1_bf0ab68f7b2c47f68d623e2ef3ea9505_p01_r04_table
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1245 × 276
NOTES
not analysedstructural_drawings_pkg_1_bf0ab68f7b2c47f68d623e2ef3ea9505_p01_r05_notesNotes
Not read yet. Press Analyse crops, or read this one on its own.
crop · 5497 × 428
GENERAL ARRANGEMENT DRAWING FOR MAJOR BRIDGE AT CH. 64+412
not analysedstructural_drawings_pkg_1_bf0ab68f7b2c47f68d623e2ef3ea9505_p01_r06_b_1_e_27_iind_floor_mohan_cooperative
Not read yet. Press Analyse crops, or read this one on its own.
2Map the itemsnot mapped yetconfigured openai/gpt-5.6-terra-pro · $1.00 → $6.00 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 · $1.00 → $6.00 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 = structural_drawings_pkg_1-bf0ab68f7b2c47f68d623e2ef3ea9505.