Essays, benchmarks, and practitioner guides from the VitruAI + ADAIA team.
On-premise AI for architecture firms, explained plainly: privacy, a shared data environment, real collaboration, and your own standards — answered.
Inside a live Vitru AI Q&A: why our first QA/QC agent blew its token budget, what actually fixed it, and the six-part blueprint behind every agent…
AEC is short an estimated 2.3 million workers by 2030. Here's the honest read on what AI agents actually fix in that gap — and what…
Inside a live Vitru AI Q&A: why an AI tool that only informs isn't an agent yet, the three-stage path to autonomy, and how AEC firms…
Deloitte calls poor data quality the thing that "frequently undermines the reliability of analytics and AI solutions" industry-wide. Here's what that actually looks like inside a…
What a live Q&A with architecture, engineering, and construction firms revealed about building a real AI roadmap — the mental models, the risks, and where to…
Most AEC firms have run an AI pilot. Few have anything running in production. Here's what separates the firms that scale AI from the ones stuck…
What a live Vitru AI Q&A revealed about building predictable AI agents for AEC firms — the constitution model, deterministic checks, and the ROI framework for…
How Vitru built orbit, our AI agent orchestration layer — borrowing supervision trees from Erlang, process lifecycle from POSIX, and event sourcing from Kafka and Temporal.
In this week's live Q&A, VitruAI co-founder Ian Arden opened up the actual system instruction behind an AI agent that follows up on every dormant lead…
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