Turn messy plans, redlines, RFIs, and permit packs into one coordinated agent loop.
This is a mockup of how G Store could combine in-house designers with OpenClaw-style agents to accelerate construction drawing review, drafting paperwork, revision control, scope extraction, and rollout coordination, without replacing the humans doing the thinking.
Reads PDF drawing sets, spot-checks dimensions, extracts room labels, identifies missing annotations, and compares revision deltas.
- Flags missing accessibility note on sheet A-4.2
- Detects elevation mismatch between plan and schedule
Builds transmittals, material schedules, compliance summaries, legend consistency checks, and issue logs for approval rounds.
Turns drawing conflicts into clean RFIs, variation notes, subcontractor briefs, and email-ready responses for clients or certifiers.
Keeps every site, version, issue, owner, and approval status synced so the latest plan set is never a guessing game.
They do the repetition, the comparisons, and the paperwork. Your team keeps the taste and judgement.
The point is not “AI draws buildings alone.” The point is that your designers and project leads should not waste hours chasing revision mismatches, manually building construction paperwork, or rewriting the same scope notes for the sixth time.
Drawing intelligence
Agents read sheet sets, compare revisions, extract room labels, check schedule consistency, and surface likely errors before they get expensive.
Drafting paperwork
Once the plan is understood, agents generate the ugly but necessary layer: issue logs, transmittals, RFIs, cover sheets, variation notes, schedules, and permit-pack structure.
Rollout coordination
Every store, sheet, status, owner, and blocker can live in one operating layer so the latest version is obvious and approvals do not vanish into inboxes.
A realistic first use case for G Store
Upload the live job pack
PDF plans, sketches, scope brief, brand guidelines, standards, and any prior revision notes go into one job space.
Agents read, compare, and organise
Plan-reading agents break the drawing set into rooms, sheets, revisions, annotations, schedules, and likely inconsistencies.
Humans review the high-value edges
Designers keep control, but instead of hunting through the pack they review a structured list of issues, gaps, and proposed edits.
Construction paperwork is drafted automatically
The system prepares RFIs, issue logs, transmittals, compliance notes, schedules, and site handoff docs off the same source material.
Every revision stays traceable
Approvals, comments, new uploads, and doc versions stay tied to the job so the rollout team has one view of truth.
Fourteen outputs from the same plan set
This is exactly the kind of ugly operational work agents are great at. Humans should edit, approve, and push taste into the system, not build every document from scratch.
“The real win is not a chatbot bolted onto drawings. The real win is a system that remembers the job, understands the document set, and drafts the paperwork around it before your team asks.”
That is the Hyro/OpenClaw angle here. Memory first. Workflow second. Interface third. Once the job context is structured, agents can stop being gimmicks and start behaving like useful junior operators.What we’d need from G Store
- 2 to 3 real drawing packs
PDF or DWG exports, ideally across two revisions so we can show plan comparison and issue detection. - Their actual paperwork stack
Examples of RFIs, issue logs, transmittals, permit cover sheets, schedules, or construction summaries they already produce. - Internal standards and review logic
Naming conventions, legends, compliance checklists, scope rules, and what “good enough” actually means internally. - Where the pain is today
Is the real bottleneck revision checking, paperwork generation, approval routing, consultant coordination, or handoff to site teams? - One pilot KPI
For example: reduce first-pass paperwork time by 60%, catch revision mismatches before issue, or generate complete site packs in under 15 minutes.