crop · 768 × 679
p02_r06 section at pier location
not analysedstructural_drawings_pkg_1_c1f818bef1244081875ebd7ae55cf604_p02_r06_section_at_pier_location
Not read yet. Press Analyse crops, or read this one on its own.
Mindmap builder
GDOT 9
1Read the crops32 crops · 0 readconfigured openai/gpt-5.6-terra-pro · about 18¢ for 32 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.
32 crops, none read yet.
Page 22 crops · 0 read
crop · 5497 × 428
p02_r07 b 1 e 27 iind floor mohan cooperative
not analysedstructural_drawings_pkg_1_c1f818bef1244081875ebd7ae55cf604_p02_r07_b_1_e_27_iind_floor_mohan_cooperative
Not read yet. Press Analyse crops, or read this one on its own.
Page 36 crops · 0 read
item · 761 × 3502
Other P03 R01
not analysedother_p03_r01
Not read yet. Press Analyse crops, or read this one on its own.
item · 4107 × 3489
Other P03 R02
not analysedother_p03_r02
Not read yet. Press Analyse crops, or read this one on its own.
item · 5543 × 438
Other P03 R03
not analysedother_p03_r03
Not read yet. Press Analyse crops, or read this one on its own.
crop · 715 × 3469
p03_r01 other
not analysedstructural_drawings_pkg_1_c1f818bef1244081875ebd7ae55cf604_p03_r01_other
Not read yet. Press Analyse crops, or read this one on its own.
crop · 4060 × 3457
p03_r02 section at abutment location at a1 a2
not analysedstructural_drawings_pkg_1_c1f818bef1244081875ebd7ae55cf604_p03_r02_section_at_abutment_location_at_a1_a2
Not read yet. Press Analyse crops, or read this one on its own.
crop · 5497 × 405
p03_r03 b 1 e 27 iind floor mohan cooperative
not analysedstructural_drawings_pkg_1_c1f818bef1244081875ebd7ae55cf604_p03_r03_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-c1f818bef1244081875ebd7ae55cf604.