The gap between quantitative and qualitative patient data is not a new observation. What is new is the methodology to close it, the infrastructure to make it scale, and the record of having said so in rooms that matter.
Why being right takes longer than being fast, and what happened when we proved it on ourselves. One of seven systems planted a phrase that was never ours, then fabricated the terms of its own apology. The correction came from a person, which is the whole argument. Co-authored by Marc and Jennifer Bulandr.
Read →This month we recorded a real medical visit, with permission, and compared it against the doctor's note. The record kept one fact in five, and credited none of them to the person who said it. A look at what disappears between the conversation and the chart. Co-authored by Marc and Jennifer Bulandr.
Read →A doctor can know everything about a patient and still not really know her. On Weber's idea of verstehen, the difference between the facts and the lived experience, and why understanding cannot be made optional, no matter how efficient the machine. Co-authored by Marc and Jennifer Bulandr.
Read →Single-model AI quietly removed the accountability that used to be built into enterprise software. The fix is not a better model. It is a structure: swappable models, triangulation to make disagreement visible, and a human gate that puts a named person back on the record. Co-authored by Marc and Jennifer Bulandr.
Read →The first in a three-part series for caregivers. Practical, plain-language ways to use AI to track changes at home, prepare for appointments, and stay organized, without ever replacing the human heart of caregiving. Co-authored by Marc and Jennifer Bulandr.
Read →The second in the three-part caregiver series. How AI can help slow medical information down, organize it, and turn it into something easier to understand, so caregivers can walk into conversations feeling more prepared and less alone. Co-authored by Marc and Jennifer Bulandr.
Read →The final piece in the three-part caregiver series. How AI may help caregivers organize tasks, break large responsibilities into smaller steps, and bring order to the moving pieces of care, so there is a little more room to focus on the person they love. Co-authored by Marc and Jennifer Bulandr.
Read →The first reflection from QIS at ATS Orlando 2026. Co-authored by Marc and Jennifer Bulandr on what QIS brought to the AI Lab and what ATS taught QIS. Five days. Three engagements. The first piece in an ongoing series of field reflections from QIS.
Read →On Magnifica Humanitas, the Vatican's first encyclical on artificial intelligence, and why this moment matters for everyone building, regulating, or deploying AI in human contexts. Co-authored by Marc and Jennifer Bulandr.
Read →The companion guide to the first ATS reflection. A practical resource for patients and caregivers on using AI tools thoughtfully and safely to prepare for appointments, understand medical information, and speak up in your own care. Co-authored by Jennifer Bulandr and Marc Bulandr.
Read →The long-form argument for qualitative patient intelligence as infrastructure, not commentary. Anchored in the before/after patient case and the five validation events across the FDA, NIH, and Duke-Margolis RISE Together Workshop, March 2026.
Read →The QIS addendum to the Research!America Alliance on the OMB/OSTP FY27 memo and qualitative infrastructure as the unfunded category in federal biotech investment mapped 2012 through 2026.
Request a copy →A triangulated response to the MIT and Stanford sycophancy research, examining why single-model AI produces structural agreement and why multi-model triangulation with human review is the architectural answer. Triangulated across seven Verity lenses before publication.
Read on LinkedIn →The patent application filed in December 2025 covering the Recursive Triangulation Logic Loop, the multi-lens Verity architecture, and the Human Gate protocol. The full cycle, the analytical mandates, and the discipline are specified in the filing.
Request a briefing →Events and regulatory moments across 2026 that name the need for qualitative patient intelligence as infrastructure. Every item below is a room QIS has been in, a docket QIS is engaging, or a regulatory development that has moved the question forward.