In one 2026 study, only 19% to 37% of AI-generated HAZOP scenarios held up. Use AI for defined checks against existing data, decide up front what it may and may not do, and keep the PHA team in charge of conclusions. A PHA is a team's judgment on how a process can go wrong, not just a document.
It predicts UV correction factors from a molecule's structure. XtalPi reports a 4.74% mean yield error across 178 reactions, a vendor figure, and results depend on the compounds and analytical conditions.
For process chemists: estimate yields from LC-UV runs without making a pure reference sample first.
An open source takeoff tool with a built-in MCP server, so an agent like Claude Code can measure rooms, count symbols and work out materials and waste.
Describe a machine in one line and the skill has Claude build an interactive isometric wireframe you can rotate and inspect, with WebGL effects for fire, water and plasma and individual parts that move. It installs as an agent skill and is open source.
For sales and training teams: a quick way to mock up how a piece of equipment works for a pitch or onboarding. The post shows nothing about engineering accuracy, so treat it as illustration, not a drawing; for ops, upstream and chemical engineers the fit is a stretch.