Triangulate sources across three minds.
One question, three independent readers, the disagreements made visible. Less hallucination, more defensible answers.
The 2024 STEP-HFpEF sub-analysis suggests preservation is partial, not full. Muscle loss falls from roughly 40% to 25% of total weight loss with structured resistance training.
Three RCTs in the last 18 months converge on the same number: combining GLP-1s with progressive resistance training cuts lean-mass loss roughly in half compared to GLP-1 alone.
Worth flagging that most studies are 6 to 12 months. The long-term picture beyond 24 months is mostly extrapolation, not evidence.
Resistance training cuts GLP-1-related lean-mass loss roughly in half across recent RCTs, but the strongest evidence runs to 12 months. Beyond that, treat conclusions as plausible rather than proven.
What changes for you
When two of three confirm a claim and one pushes back, you know where to dig instead of trusting blindly.
PDFs, charts, scans, and web pages all welcome in the same room.
Verdicts surface the sources that drove each claim, so your write-up holds up to a real reviewer.
Which mind to ask
Each model leans differently. Maya keeps the differences visible.
Best for long-document reading, careful citation, and surfacing nuance in academic prose.
Best for broad cross-domain context and structured comparison across many sources.
Best for fast web-style retrieval, fact-checking, and reading visual content.
Where teams reach for it
Hear from three minds, get one verdict.
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