Instead of testing AI tools one by one, we build a system that fits how your office actually works.
Custom AI workflows for architecture offices, construction firms, and design teams: prompt libraries, visual-production systems, agents, and training, all built around how you already work.
Not another chat window: an assistant wired into your office's own server, data, and tools. This is the architecture of a typical pilot setup.
Reads the message, picks the right skill and data, answers with drawing references, and tags a human whenever the rules say the call isn't its to make.
Board layouts, spec drafting, quantity take-offs, written for how your office documents actually work, in your visual language.
Project archive, standards, drawings, and templates, searchable by the assistant and private to you.
What agents may do on their own, and what always waits for a human decision.
Massing screenshots and sketches become presentation-consistent visuals in your board standards.
Parametric variants driven from plain-language briefs into Rhino and Grasshopper.
Building footprints, plots, and context pulled from OpenStreetMap straight into the model environment.
The same assistant reaches Grasshopper and office tools over MCP servers: one interface, many tools.
A worked example for an architecture office: the branches one assistant can orchestrate once it knows your archive, your standards, and your tools.
Any card runs on demand, on a schedule, or as a long-running agent, triggered from Telegram, WhatsApp, or the office server.
A worked example, not a promise list: every card is scoped for your office in the audit phase.
The architecture stays the same; what fills the server depends on what your office actually does.
The system encodes your board standards, then turns massing screenshots into presentation-consistent visuals. The team stops rebuilding the same layout scaffolding at every deadline.
SKILLS · VISUAL PIPELINE
The knowledge layer holds suppliers, past specs, and FF&E schedules. An agent drafts the spec sheet from the moodboard and flags budget clashes before the client meeting.
KNOWLEDGE LAYER
Site photos and questions arrive over Telegram; agents match them against current drawings, and the day's exchanges become a logged site record.
INTEGRATION LAYEROne concrete flow, end to end: the kind of setup a pilot engagement typically starts with.
A site engineer sends a photo and a question to the project's Telegram group: "Is this the right railing detail for block B?"
The assistant reads the message, searches the project folder in the office's own database, and finds the current drawing and its spec row.
It replies with the drawing reference and revision date. Because the drawing changed last week, it tags the project architect for confirmation instead of deciding alone.
The exchange is logged to the project record. Decisions stop living in scroll-back.
This is an example pilot configuration, not a product screenshot. Your office's actual flows are mapped in the audit phase first.
Every engagement follows the same three-phase arc: scoped small, proven fast, then handed over so your team owns the system.
We map the real workflow with your team and mark where AI genuinely pays off; no tooling is chosen before this is clear.
We assemble the system on the tools you already use and test it against live project work, not demos.
Your team learns to run and extend the system; documentation and retainer support stay available.
We are currently onboarding a limited number of pilot offices. If you run an architecture or design practice and want to integrate AI into your workflow properly, let's talk.
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