crop · 860 × 1184
p20_r07 left 1
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p20_r07_left_1
Not read yet. Press Analyse crops, or read this one on its own.
Mindmap builder
SR21 Bridge Widening-part.3
1Read the crops304 crops · 0 readconfigured openai/gpt-5.6-terra-pro · about $1.73 for 304 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.
304 crops, none read yet.
Page 205 crops · 0 read
crop · 1943 × 1192
p20_r08 title block
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p20_r08_title_block
Not read yet. Press Analyse crops, or read this one on its own.
item · 908 × 1565
Other P20 R03
not analysedother_p20_r03
Not read yet. Press Analyse crops, or read this one on its own.
item · 1279 × 1508
Other P20 R06
not analysedother_p20_r06
Not read yet. Press Analyse crops, or read this one on its own.
item · 908 × 1216
Other P20 R07
not analysedother_p20_r07
Not read yet. Press Analyse crops, or read this one on its own.
Page 2111 crops · 0 read
crop · 4627 × 2007
p21_r01 table
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p21_r01_table
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1538 × 3251
p21_r02 title block
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p21_r02_title_block
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1052 × 1589
p21_r03 right 1
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p21_r03_right_1
Not read yet. Press Analyse crops, or read this one on its own.
crop · 3571 × 2626
p21_r04 table
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p21_r04_table
Not read yet. Press Analyse crops, or read this one on its own.
crop · 3575 × 2404
p21_r05 table
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p21_r05_table
Not read yet. Press Analyse crops, or read this one on its own.
crop · 859 × 1187
p21_r06 right 1
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p21_r06_right_1
Not read yet. Press Analyse crops, or read this one on its own.
crop · 860 × 1184
p21_r07 right 1
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p21_r07_right_1
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1943 × 1192
p21_r08 title block
not analysedgdot_plan_8f3f2a295e7840719673724a08adfdff_p21_r08_title_block
Not read yet. Press Analyse crops, or read this one on its own.
item · 1099 × 1620
Other P21 R03
not analysedother_p21_r03
Not read yet. Press Analyse crops, or read this one on its own.
item · 907 × 1217
Other P21 R06
not analysedother_p21_r06
Not read yet. Press Analyse crops, or read this one on its own.
item · 908 × 1216
Other P21 R07
not analysedother_p21_r07
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 = gdot_plan-8f3f2a295e7840719673724a08adfdff.