VQV Signal

DEVELOPING WATCH TECHNICAL

PAACADEMY workshop shows AI agents working in Rhino, Revit and Grasshopper via MCP

According to a post on X by @PAACADEMYY, PAACADEMY is hosting an online workshop called "Agentic Architecture 2.0" on November 14, led by Fredy Fortich. The five-hour live session runs from 14:00 to 19:00 GMT and has 50 seats. The post says it will show AI agents operating Rhino, Revit and Grasshopper through MCP to generate geometry, query BIM data and automate documentation. It also compares the Astra and Fable models on real architectural tasks.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-29T21:45:00+00:00 Detected 2026-10-30T01:17:48+00:00
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According to a post on X by @PAACADEMYY, PAACADEMY is hosting an online workshop called "Agentic Architecture 2.0" on November 14, led by Fredy Fortich. The five-hour live session runs from 14:00 to 19:00 GMT and has 50 seats. The post says it will show AI agents operating Rhino, Revit and Grasshopper through MCP to generate geometry, query BIM data and automate documentation. It also compares the Astra and Fable models on real architectural tasks.

AI-assisted summary based on the listed source.

Fredy Fortich's five-hour live workshop (14:00–19:00 GMT, 50 seats) shows AI agents operating Rhino, Revit and Grasshopper through MCP to generate geometry, query BIM data and automate documentation, comparing the Astra and Fable models on real architectural tasks. Also:...

Architects, BIM teams and design technology staff could see how agent-based workflows are demonstrated on architectural tasks. The workshop is a single live event, so it offers a hands-on look rather than a published result. Readers should check whether the Astra and Fable comparison yields any clear findings, since the source does not report results.

Signal Strength 86% Technical label WATCH Public Interest 22 Category DEVELOPING Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 18 Curiosity Score 16 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).