StackGuard runs deterministic rules against PubMed citations to catch interactions, flag redundancies, and score your stack — before you take a single pill.
The rules engine checks your stack against citation-backed interactions — no AI guessing, no hallucinations.
Live Demo
Try it — type any supplement name below and hit Evaluate.
Try one of these known interactions:
List your supplements, peptides, and dosages. Add your bloodwork markers and DNA variants if you have them.
Six evaluation passes check drug-supplement interactions, blood marker conflicts, DNA variant impacts, and PubMed citations — deterministically, without AI guessing.
Interaction flags, risk scores, citation-backed explanations. No vague advice. Clear signals backed by published research.
Flags conflicts between your Rx medications and supplement ingredients. Based on established pharmacokinetic data, not training data.
Cross-references your lab values against your stack. High iron? Vitamin K may be relevant. Low D? D3 + K2 synergy flagged.
MTHFR, COMT, CYP — your genetic variants affect how you metabolize compounds. StackGuard adjusts recommendations based on your variants.
Some supplements don't play well together. Calcium blocks iron absorption. PQQ and NAC at high doses may compete. StackGuard catches this.
Some compounds absorb better fasted. Some need food. Fat-soluble vs water-soluble matters. StackGuard tells you when to take what.
Every flag links to a PubMed citation. Every rule traces back to published research. No fabricated claims, no vague authority.
LLM-based health tools hallucinate. They conflate training data with fact. They confidently tell you the wrong thing about a supplement you take daily. In a space where mistakes can harm people, that is unacceptable.
StackGuard is built differently. Every evaluation is a deterministic rule — if X and Y, then flag. The rule base is curated from peer-reviewed literature. The output is reproducible, auditable, and honest.
"The no-hallucination angle is the real differentiator. Most health AI tells you what sounds plausible. StackGuard tells you what's actually true."
You're taking your health seriously.
Your stack evaluation should be just as serious.
StackGuard is built for biohackers, self-experimenters, and anyone running a complex protocol who refuses to trust vague AI advice with their body. The rules engine is deterministic. The citations are real. The output is honest.
Early Access
The demo above shows how a single pair evaluates. Early access gives you the full stack analysis — your complete protocol, evaluated against every citation in our database, with severity scoring and clinical context on every interaction.
"Ran my entire stack through it and found two interactions my GP didn't catch. The citation trail is solid."
Already tried the demo above?
Drop your email and we'll notify you the moment early access opens — you'll be first in.