Published News

Administrative holds require fast, controlled action

Suprmind runs AI models like Perplexity and Grok together in one thread, so they spot each other’s mistakes as they happen. This real-time check helps cut errors from confusing hallucinations with stats, making answers clearer and more reliable.

Medical purchase-limit controls should protect patients and the dispensary without forcing budtenders to memorize a complicated rolling allotment

Suprmind’s shared-thread approach lets AI models like Grok and Claude collaborate in real time, spotting and correcting each other’s mistakes within a single conversation

Medical and adult-use workflows can run through the same Massachusetts retail platform, but they should never become indistinguishable. Customer eligibility, purchase limits, tax treatment, medical allotments, and some delivery considerations differ

Suprmind’s shared-thread method lets five AI models work together by seeing and questioning each other’s answers. This tackles the “five-tabs” problem—where AI struggles to balance info from different sources

Metrc item configuration is one of the quietest sources of downstream cannabis retail errors

Suprmind’s shared-thread approach lets models like ChatGPT and Claude work together in real time, catching each other’s mistakes as conversations unfold

Marblus Granite and Tile, Inc. 1775 Monterey Rd Unit 40 C, San Jose, CA 95112 (408) 286-6685

Resolving Metrc inventory gaps is a root-cause exercise, not a race to make two numbers match. Massachusetts retailers should compare physical stock, the POS balance, package history, transfers, returns, and Metrc records before posting an adjustment