Vibe Rounds — domain maturity map

Current development stage across three application domains · June 2026

Domain 1

AI-augmented clinical education

High maturity

Socratic feedback loop, six-level difficulty framework, V0–V2 prompt evolution, pilot protocol, and live deployment demonstrated.

Domain 2

Guided discovery research

Medium maturity

Seven-stage N-of-1 workflow, two-tier analysis methodology, and CARE-aligned outputs defined. Worked case example complete. Awaiting multi-case validation.

Domain 3

Bedside clinical decision support

Early stage

Concept and architecture defined. EMR integration, multimodal AI layer, and FHIR infrastructure remain pre-implementation. Vision document published.

High — deployable

Medium — defining

Early — concept stage

Definition

Vibe Rounds is a Socratic AI paradigm for medical students, clinicians, researchers, and scientists — designed to augment clinical reasoning through structured questioning, guided discovery, and reflective dialogue rather than direct answers.

What is Vibe Rounds?

Just as Vibe Coding lets developers build software through natural language and intuition, Vibe Rounds brings the same paradigm to clinical medicine. A doctor doesn't type into a form or navigate menus — they speak, gesture, and show. The AI responds in real time, augmenting clinical judgment without replacing it.

Not AI replacing doctors. AI giving doctors the cognitive bandwidth to be their best — at 3 AM, on the 12th hour of a shift, for every patient.

"Socratic AI clinical learning for every clinician."

The Vibe Rounds Philosophy

Not AI that answers — AI that questions

Vibe Rounds is built on a specific and deliberate philosophy about how AI should participate in clinical thinking.

Vibe Rounds is not about asking AI for answers — it is about using multimodal AI as a cognitive assistant.

The clinician remains the decision-maker. AI serves as a Socratic partner: it challenges assumptions, surfaces common reasoning biases relevant to the clinical scenario, offers a second opinion, and supports the direction of cognitive work — not the conclusions. This mirrors frameworks long used in medical education and professional training, where the role of a great attending or mentor is not to hand you the answer, but to sharpen how you think toward it.

In Vibe Rounds, AI plays that attending — prompting reflection, flagging what may have been missed or oversimplified, and expanding the quality of the clinician's own reasoning rather than substituting for it.

"Vibe Rounds is not AI that answers — it is AI that questions. A Socratic cognitive assistant that challenges clinical reasoning, flags common biases, and offers a second opinion, while leaving all decision-making with the clinician. This is grounded in the same cognitive scaffolding frameworks used by educators and clinical supervisors for decades."

Tap a Scenario to See It in Action

Case-based learning at 2 AM

1st year student

"My patient is 62, smoker, came in with haemoptysis and a 4kg weight loss in 2 months. Walk me through this."

⊕

Top concern: lung malignancy. Your differentials should include squamous cell carcinoma, TB, and bronchiectasis. What does the CXR show? Describe it to me and we'll go from there.

"There's a 3cm opacity in the right upper lobe with irregular margins."

⊕

That morphology strongly favours malignancy. Next step: CT chest with contrast and sputum cytology. What staging system would you use once confirmed?

💡 The AI acts as a Socratic tutor — never giving answers, always pushing the student to reason. That's a Vibe Round in medical education.

Bedside resident prep

ResidentPre-round

"I have 6 patients to pre-round on in 40 minutes. My sickest is a 45-year-old post-CABG day 2 with a new fever. What do I prioritise checking?"

⊕

Post-CABG day 2 fever — rule out sternal wound infection, pneumonia, and DVT first. Check: wound site, bilateral breath sounds, calf tenderness, WBC trend, and CXR from last night. Vitals trajectory more important than single values. Want a quick pre-round checklist?

"Yes, and also draft a one-liner for handover."

⊕

"Mr X, 45M, POD2 CABG, new fever 38.6°C, haemodynamically stable, under evaluation for wound/pulmonary source." Checklist ready — 6 items, 4 minutes to complete.

💡 A resident thinking out loud with AI before seeing patients — sharper rounds, safer patients. Vibe Rounds as clinical preparation.

Faculty building a curriculum

FacultyCurriculum design

"I want to teach 2nd years clinical reasoning for sepsis. Give me 5 progressively harder case vignettes with teaching points."

⊕

Case 1 (Basic): 28F with UTI, fever 39°C, HR 108, BP 102/68. Teaching point: qSOFA criteria. Case 2: Same patient, now confused, lactate 2.8. Teaching point: Sepsis-3 definition and source control urgency…

"Make case 4 a paediatric patient. Add an MCQ for each."

⊕

Done. Case 4 now features a 7-year-old with meningococcal sepsis, adjusted Paediatric SOFA scoring, and 4-option MCQ with explained distractors. Export as PDF?

💡 A faculty member vibing through curriculum design in minutes, not days. Vibe Rounds isn't just clinical — it's educational infrastructure.

Exam prep — USMLE / MRCP / FMGE

Final yearBoard prep

"Quiz me on cardiology for MRCP Part 1. I'm weak on arrhythmias. Make it hard."

⊕

A 58-year-old man with known HCM presents with pre-syncope. ECG shows broad complex tachycardia at 180 bpm. BP 88/60. What is the SINGLE most appropriate immediate management?

"DC cardioversion?"

⊕

Correct. In haemodynamically unstable VT with HCM, synchronised DC cardioversion is first-line. Avoid amiodarone as first choice here — negative inotropy worsens LVOTO. Next question, harder?

💡 Adaptive, immediate, personalised exam coaching at midnight — Vibe Rounds as the study partner every student deserves but few have access to.

Click any persona to reveal its command → copy → paste into any LLM as your opening prompt. It will help you DIY your own Vibe Rounds for learning purpose. Modify the prompt as you need.

Disclaimer -To be used on personal responsibility and only for learning. Not be used for clinical purpose.

The Pedagogical Spectrum — Where Vibe Rounds Fits

This progression is a pedagogical spectrum, moving from instructor-centered transmission to learner-centered inquiry. Each stage shifts agency, cognitive load, and responsibility for meaning-making from the educator to the student. Tap a stage below to explore it — and see exactly where an AI-augmented Socratic tool like Vibe Rounds operates.

Instructor-Centered Learner-Centered

1Lecture 2Dyadic 3SocraticVibe Rounds 4Guided DiscoveryVibe Rounds 5Research

1Lecture — The Foundation

Educator

Expert / Source

Learner

Passive Receiver

Primary Goal

Information delivery & foundational framing

At the start, the educator provides the "map of the territory." This is most effective for introducing complex terminology, historical context, or core theories that the learner cannot yet deduce on their own.

📍Best for: Establishing common language and conceptual frameworks.

2Dyadic — The Clarification

Educator

Facilitator / Partner

Learner

Active Collaborator

Primary Goal

Peer-to-peer articulation & social learning

Learning is inherently social. By pairing learners, they must translate the "lecture" into their own words to explain it to a peer. This forces encoding — the process of converting external information into internal understanding.

📍Best for: Identifying gaps in understanding and building confidence.

3Socratic — The Stress Test

Educator

Questioner

Learner

Critical Thinker

Primary Goal

Challenging assumptions & surfacing logical gaps

Once learners believe they understand, the Socratic method tests the depth of that understanding. By asking "Why?" or "What if?", the educator exposes inconsistencies in the learner's logic, forcing them to refine their mental models.

📍Best for: Developing critical thinking and weeding out misconceptions.

🩺This is Vibe Rounds' home base. The "AI that questions, not answers" philosophy, the Socratic Attending persona, and the answer-withholding constraints described earlier in this page are all built to operate at exactly this stage — every "Why do you think that?" is a Stage 3 move.

4Guided Discovery — The Application

Educator

Architect of Experience

Learner

Problem Solver

Primary Goal

Constructing mental models through experience

Here, the educator creates a "scaffolded environment" — a problem or simulation where the answer isn't provided, but the parameters are set so the learner is likely to reach the correct conclusion. The struggle is the point.

📍Best for: Transitioning from theory to practical application.

🩺Vibe Rounds extends here too. The tiered-hint constraints — framework, then narrowed direction, then partial answer — turn an open-ended case into exactly this kind of scaffolded environment, generated on demand.

5Research — The Mastery

Educator

Mentor / Guide

Learner

Independent Scholar

Primary Goal

Generating original insights & mastery

The final stage is autonomy. The learner is no longer just absorbing or refining existing knowledge but is tasked with investigating a novel question. The educator moves from a teacher to a consultant, providing resources and mentorship.

📍Best for: Cultivating lifelong learning and innovation.

This model respects Cognitive Load Theory: start at "Research" and learners feel overwhelmed by ambiguity; stay in "Lecture" and they never build the muscle for independent thought. Moving through these stages builds the scaffolding that turns a novice into a self-directed expert — and Vibe Rounds is the tool purpose-built for Stages 3 and 4.

For Medical Educators — A Reflection

Which stage of this progression are you currently designing for, and what subject matter are you teaching? If it's Stage 3 or 4, that's precisely the gap Vibe Rounds is built to fill — pick a persona prompt above, paste it into your AI tool of choice, and try running a session on your own case material.

Testimonials

It is often debated in the literature that AI may reduce critical reasoning skills. This video, however, offers a refreshing perspective on how undergraduate medical students can actually develop strong Socratic reasoning abilities through the thoughtful use of AI. A truly insightful and valuable contribution to medical education.

Dr. Diwakar Dhurandhar

MD, FAIMER, MHPE, PG Diploma in Medical Education, ACME
Associate Professor, Department of Anatomy · AIIMS, Raipur

Vibe Rounds Tutorial: Mastering Socratic Clinical Reasoning in NotebookLM

This tutorial will guide you through using the Vibe Rounds framework within a notebook environment. Instead of simply providing answers, the AI will act as a cognitive assistant that challenges your reasoning, identifies biases, and helps you sharpen your clinical judgment.

Step 1

Set Up Your Learning Environment

Open your notebook

Go to Google Notebook (NotebookLM).

Add the Source

In the "Sources" panel, select "Website" and enter the URL for the Vibe Rounds website. This provides the AI with the core philosophy and persona instructions needed for the session.

Choose Your Persona

Scroll through the source material to find the Persona Command that fits your needs — e.g., Supportive Intern, Socratic Attending, or Junior Resident.

Copy and Paste

Copy the specific #VibeRounds command and paste it as your first message in the chat to set the "vibe" for the conversation.

Step 2

Example Learning Scenarios

Three ways to use this setup to enhance your clinical training.

Scenario 1 The "Supportive Intern" — Ward Help

Persona Copy the Supportive Intern prompt — #VibeRounds Act as a supportive intern...

The Case "I have a patient who is 23F, 5 months pregnant, presenting with an unusual sensation in her tummy. What should I be looking for?"

The Vibe The AI acts as a peer who identifies gaps in your assessment rather than correcting you outright. It might ask you to describe the "sensation" more specifically, or prompt you to check the fetal heart rate versus maternal pulse to ensure you aren't missing a critical physiological detail.

Scenario 2 The "Socratic Attending" — Imaginary Case Generation

Persona Copy the Socratic Attending prompt — #VibeRounds Act as a Socratic attending on teaching rounds...

The Request "Act as an Attending and give me an imaginary case for learning."

The Vibe The AI generates a clinical vignette — like a 62-year-old smoker with weight loss — then asks you to walk through the differential. As you respond, it challenges your rankings and asks what you might be "anchoring" on.

Scenario 3 The "Socratic Attending" — Case Analysis

Persona Copy the Junior Resident / Attending prompt.

The Case A 54-year-old female in the ED with acute shortness of breath and sharp, right-sided chest pain after a 14-hour flight. Vitals: HR 112, BP 130/84, O₂ Sat 92%, Lungs clear.

The Vibe When you suggest Pulmonary Embolism (PE), the AI will not accept it at face value. It will ask:

"Why did you rank PE first?"
"What would you expect to find if your top diagnosis is wrong?"
"What single finding on a chest X-ray — like a widened mediastinum — would make you regret starting anticoagulation?" (prompting you to consider aortic dissection)

Key Learning Tip

Remember that Vibe Rounds is not AI that answers — it is AI that questions. The goal is to use the "What / Where / Do" template to capture your initial reasoning while the AI identifies the soft spots in your logic. This ensures that you, the clinician, remain the final decision-maker while the AI provides the cognitive scaffolding to make your thinking more robust.

Constraints for Better AI Performance

A Socratic mentor only works if the AI can resist the temptation to simply hand over the answer. In practice, learners under pressure often type "idk" and wait — and a too-helpful model will happily fill the silence. The constraints below are a practical fix: a set of rules that keep any #VibeRounds persona honest to the "AI that questions, not answers" philosophy, whatever the rigor level.

Forced commitment first

The learner must offer an initial answer, differential, or next step before any hint is unlocked. No commitment, no scaffolding.

Minimum effort threshold

A reply like "idk" or a bare two-word guess triggers a gentle redirect — "Give your best guess, differential, or next step" — rather than a hint.

The 10-second rule (delayed rescue)

The AI deliberately pauses before guiding, prompting the learner to keep thinking instead of rushing to reveal anything.

Tiered hints, never the full answer up front

Hint 1 offers a framework, Hint 2 narrows the direction, Hint 3 gives a partial answer, and only the final step is a teaching summary.

Effort-weighted assistance

A more thoughtful, detailed attempt from the learner is met with deeper, more tailored teaching in return — effort is rewarded with depth.

Reasoning grading, not just correctness

The AI evaluates the learner's logic, prioritisation, and willingness to flag their own uncertainty — not only whether the final answer was right.

Adaptive difficulty

Beginners receive supportive scaffolding; advanced learners get more aggressive Socratic questioning that pushes the edges of their knowledge.

Role-calibrated rigor

The AI adopts the posture of an intern, resident, attending, or examiner depending on the persona selected — each with its own expected level of challenge.

Reflection before reveal

Before giving anything away, the AI asks questions such as:

"Why do you think that?"
"What could kill the patient?"
"What are you missing?"

Answer-withholding policy

The full answer is released only after the learner has attempted a response, shown their reasoning, had a chance to revise — or explicitly asks the AI to surrender and reveal it.

Adding This to Your Persona Prompt

Any #VibeRounds persona command can be strengthened by appending a line such as: "Apply effort-weighted, tiered-hint Socratic constraints — require a committed first attempt, withhold the full answer until I've reasoned through it, and grade my logic and uncertainty as much as my final answer." This keeps the model acting as a mentor that questions, even when the learner is tempted to fish for a quick answer.

A paradigm, not a prescription.

The prompt you see here is a starting point — not a finished product. Its purpose is to demonstrate a way of thinking about AI-assisted clinical interaction, not to define the only way. Implementors are encouraged to extend it: enforce structured fields like gender, age, or chief complaint; add patient history templates or clinical grading systems; build checklists that match your specialty or workflow. Your LLM, your requirements, your rules — this is just where the thinking begins.

System Prompt Evolution & Difficulty Analytics

The Vibe Rounds prompt evolution demo across three versions for educators — from a simple Persona Prompt to a research-grade deployment with safety overrides, Socratic constraints, and a full pilot protocol. This document maps each version to its pedagogical purpose and difficulty level: from self-directed learning (L1) through to OSCE-style examination mode (L6).

📄 Download: Prompt Evolution & Difficulty Analytics (PDF)

Vibe Rounds · Guided Discovery

A Socratic AI paradigm for clinical reasoning

A Clinical Cognition Discovery Platform that executes reasoning frameworks, analytics modules, cognitive architectures, and agent pipelines on clinical cases to reveal the hidden processes of clinical thinking, decision-making, and metacognition.

A–D

Meta-Skills

The pedagogical OS — Bloom's, Fink's, and the ethical guardrails woven into every module.

Skills Library

Browse every specialist agent — M00 through M43.

200+

Pipelines

Pre-sequenced module chains — the standardized clinical pathways.

Demos

Worked case dashboards and nested analyses.

The core idea

Vibe Rounds Guided Discovery is a Clinical Cognition Discovery Environment.

Rather than simply generating answers or teaching through question–answer interactions, it executes structured clinical reasoning, cognition, metacognition, analytics modules, and agent pipelines on real clinical cases to uncover how clinical thinking develops around a case.

Users can run individual modules, specialized agents, predefined pipelines, or custom workflows to explore different dimensions of clinical cognition including diagnostic strategy, hypothesis generation, cognitive biases, pattern recognition, systems thinking, decision architecture, and metacognitive reflection.

Clinical Cognition Discovery: Transform clinical cases into observable maps of reasoning, decision-making, uncertainty management, and expertise development.

Frameworks, Modules & Agents: Run individual clinical skills, analytics modules, cognition frameworks, specialized agents, or complete reasoning pipelines.

Cognitive Explainability: Reveal not only what conclusions emerge, but how those conclusions emerge through structured reasoning processes.

The goal is not merely to reach a diagnosis. The goal is to expose the cognitive machinery behind diagnosis, management, learning, and clinical expertise.

Conventional AI vs Clinical Cognition Discovery

✕Gives answers

✕Focuses on outputs

✕Produces diagnoses

✓Reveals reasoning processes

✓Focuses on cognitive pathways

✓Exposes how diagnoses emerge

✓Acts as a cognition microscope

✓Continues into reflection and metacognition

Who this is for

Find your entry point

Medical Students / Junior Doctors

Start at M01 – Socratic Reasoning. Use M04 before supervised ward rounds. Use M17 to sharpen your problem representation before any case discussion.

Family Caregivers / Advocates

Start at M02 – Patient Advocate Documentation, then M03 for ongoing monitoring. Use M11 when you need plain-language explanations of what is happening.

Clinicians in Practice

Use M05 to audit a live patient log. Use M09 for a complex case you want to write up. Use M13 when polypharmacy is a concern.

Educators / Prompt Authors

Use M08 to audit and quality-check any Socratic prompt you are writing or revising. Run Framework D at the end of any session to counter bias.

Important: All AI-generated outputs require independent clinical verification before being acted upon. Vibe Rounds is a patient-centred learning system — not a clinical decision support tool, prescribing aid, or diagnostic system. All outputs are learning observations, not clinical decisions.

Start with Module 0

New to Vibe Rounds? Let the cold-start orientation route you to the right module before any clinical content is entered.

Open Module 0 → Master Protocol Full Reference Repository ↗

Skills Library — Specialist Agents

44 reasoning modules

Each module is a self-contained prompt workflow with its own lifecycle (Initiation → Execution → Closure). Jump straight to the one that fits your session — or start at Module 0 if you're new.

⌕

44 modules

Meta-Skills — The Operating System

The pedagogical layer

Not standalone modules — woven into specific steps across the module set. These give every module access to the same underlying educational theory rather than each one inventing its own.

Humanistic Persona & Confidence-Building

Six traits that build clinical confidence alongside clinical competence. Key design rule: specific affirmation before challenge — naming the exact reasoning move, not generic praise. Challenge without affirmation triggers defensive cognition.

View framework →

Fink's Taxonomy of Significant Learning (FLINK)

Six non-hierarchical learning dimensions — foundational knowledge, application, integration, human dimension, caring, learning-how-to-learn — applied to keep every closure step producing durable, transferable insight, not just an answer.

View framework →

Bloom's Revised Taxonomy

Six cognitive levels (Remember → Understand → Apply → Analyse → Evaluate → Create), mapped explicitly to clinical reasoning tasks. Used to scaffold caregiver understanding and to calibrate the difficulty ratchet between sessions.

View framework →

Critical Awareness Framework

A standing closing prompt that names the cognitive biases the framework itself is susceptible to — automation bias, anchoring, hallucination risk, rare-diagnosis overweighting — with structured debrief prompts to counteract them. The protocol auditing itself, by design.

View framework →

Pipeline Catalog

200+ sequenced module pipelines

AI-augmented clinical reasoning and medical-education pipelines — from bedside to evidence frontier. Click any card to expand its module sequence.

⌕

200+ pipelines

Tutorial

How Guided Discovery Works

Guided Discovery is a Clinical Cognition Discovery Platform that reveals how clinical thinking develops around a case — not by generating answers, but by exploring how answers emerge.

The Core Idea

An MRI for Clinical Thinking

Most AI systems generate answers. Guided Discovery explores how answers emerge. Instead of asking a model to diagnose a case, you execute structured reasoning frameworks, cognitive architectures, analytics modules, and agent pipelines on clinical data.

Clinical cognition is usually invisible. You see diagnoses and decisions — but not the reasoning processes that produced them. Guided Discovery reveals structures, pathways, assumptions, biases, and reasoning strategies operating beneath the surface.

The Shift in Perspective

✕Most systems ask: "What is the diagnosis?"

✓Guided Discovery asks: "How does clinical thinking move from uncertainty to understanding?"

Three Levels of Exploration

Modules, Agents & Pipelines

Every run uses one of three building blocks — or combines them into a custom workflow.

Level 1

Modules

Single cognitive lenses providing focused insights into one aspect of a case.

Observation · Hypothesis Generation · Bias Detection · Decision Analysis

Level 2

Agents

Specialized cognition engines that orchestrate multiple frameworks in one run.

Guided Discovery Agent · Clinical Cognition Deep Dive · Analytics Agent

Level 3

Pipelines

Structured workflows combining modules and agents into progressive reasoning journeys.

Example: 1 → 12 → 9 → 21 → 35

The Discovery Journey

How a Case Unfolds

Running a pipeline takes a clinical case through progressive reasoning stages, each building on the last.

Observation

Raw case data

→

Pattern Recognition

Cue clustering

→

Hypothesis Generation

Differential building

→

Decision Architecture

Reasoning map

→

Bias Detection

Cognitive audit

→

Metacognitive Reflection

Cognition map

Ways to Run a Case

Worked Examples

Copy one of the queries below into Claude (or any AI) alongside a clinical case URL to start a run.

Socratic Mode

Run a single module. The AI acts as a cognitive assistant that challenges your reasoning rather than providing answers.

Module

Module 42 — Clinical Pre-Mortem ↗

View Output

Claude.ai Results ↗

Query to Run

Copy any prompt from Module 42 and paste it with your case.

Targeted Clinical Pipeline

Chain multiple modules in sequence to walk a case through progressive reasoning stages.

Clinical Case

42F with Severe Regular Edema ↗

View Output

Claude.ai Results ↗

Query to Run

for case - https://classworkdecjan.blogspot.com/2019/05/42-f-with-severe-regular-edema-with_17.html?m=1 run modules 1→ 12 → 9 → 21 → 35 from https://avi33tbtt.github.io/Prompts/

Full Guided Discovery Agent

Run the complete orchestrated agent — the deepest single-run exploration of a case.

Clinical Case

42F with Severe Regular Edema ↗

View Output

Claude.ai Results ↗

Query to Run

for case - https://classworkdecjan.blogspot.com/2019/05/42-f-with-severe-regular-edema-with_17.html?m=1 run module https://avi33tbtt.github.io/Prompts/VibeRounds_Guided_Discovery_Agent.html

What Gets Revealed

What Can Be Discovered?

Each run surfaces a different layer of clinical cognition that is normally invisible in everyday practice.

Clinical reasoning pathways

Diagnostic strategies

Pattern recognition mechanisms

Decision architectures

Cognitive biases

Knowledge gaps

Uncertainty management

Metacognitive processes

Expert vs. novice thinking

Clinical expertise development

Demo Implementations

See it run on real cases

Worked examples of the Master Protocol and individual modules applied to real case material — interactive dashboards, transcripts, and nested analyses.

Flagship Demo

The Learning Stack — 14M Microcytic Anemia & Urinary Obstruction

A live, interactive run of the Master Protocol outputs — case summary, top insights, prioritised investigations, differentials, and a printable action-plan report.

Open Full Screen ↗

Analytics

The Learning Stack — Full Analytics Demo

The complete structured export covering every pedagogical framework, case reasoning step, and CARE report output.

22 Jun 2026Open ↗

Evaluation

Vibe Rounds — Academic Evaluation

Conversation transcript with Claude evaluating the Vibe Rounds paradigm layer by layer.

19 Jun 2026Open ↗

Implementation

PaJR × Vibe Rounds — Prompts

Demo implementation pairing the Patient-as-Journal-Record (PaJR) approach with Vibe Rounds prompts.

19 Jun 2026Open ↗

Tutorial

CKD Class Tutorial

Socratic clinical reasoning walked through a chronic kidney disease class tutorial.

19 Jun 2026Open ↗

Case Practice

Clerkship Case Practice

Prompt templates for clerkship case practice, adapted for day-to-day ward use.

20 Jun 2026Open ↗

Nested Analysis

Nested Analysis — 5 EAI Cases

Lightweight nested analysis run across five EAI (early-AI-interaction) cases.

22 Jun 2026Open ↗

Nested Analysis

Nested Analysis — 4 Unrelated Cases

The same nested-analysis technique applied across four structurally unrelated cases.

22 Jun 2026Open ↗

Nested Analysis

Case vs. 5 PubMed Cases

A nested comparison of one original case against five matched PubMed case reports.

22 Jun 2026Open ↗

Research Papers & Preprints

Academic Publications

Research papers, technical architecture proposals, and preprints from the VibeRounds project — all available open-access on ResearchGate.

Preprint

Vibe Rounds: A Socratic AI Paradigm for Clinical Education

Academic framing of the Vibe Rounds paradigm — pedagogical positioning (Levels 3–4 of the teaching spectrum), pilot observations, and limitations statement.

↗ View on ResearchGate

Preprint

Vibe Rounds N-of-1 Protocol & Worked Case

A conversational-AI-assisted protocol for clinician-led N-of-1 case research. Seven-stage research protocol with a full worked case example.

↗ View on ResearchGate

Preprint

Evaluating "Vibe Rounds": A Comparative Analysis

Comparative analysis of the prompt-based framework for AI-assisted clinical reasoning, patient advocacy, and N-of-1 case research.

↗ View on ResearchGate

Preprint

DIAR — Dimensionally Isolated Asymmetric Retrieval

Novel architecture for multi-vector similarity search in unstructured clinical case registries. Solves the "centroid drifting" problem in clinical RAG systems.

↗ View on ResearchGate

Preprint

Cognitive Biases in AI-Assisted Clinical Reasoning

Mechanisms, risks, and mitigation strategies. Argues that epistemic transparency, adversarial self-querying, and structured closure protocols are essential safeguards for clinical AI.

↗ View on ResearchGate

Preprint

Agent-Mediated Guided Discovery in Clinical Reasoning Education

This paper examines the VibeRounds Guided Discovery Agent, a routing layer built on top of the module library that parses an incoming clinical case along eight structured dimensions, scores the full module catalogue against those dimensions, and returns a session-ready Guided Discovery Plan comprising ranked modules, multi-session pipelines, case-specific Socratic discovery questions, and Bloom's-taxonomy-aligned learning expectations.

↗ View on ResearchGate

Preprint

Structured Epistemic Architecture vs. Direct Query A Process-Level Comparison of VibeRounds EBM Against Unstructured LLM Evidence Retrieval

The comparison is not case-based; it examines what each mode does to a user's reasoning process-how it frames questions, acquires and appraises evidence, communicates uncertainty, and self-corrects.

↗ View on ResearchGate

Preprint

VibeRounds: A Structured Multi-Prompt Protocol for AI-Assisted Clinical Case Reasoning and Caregiver Education

Broad-scope paper covering the full VibeRounds framework — multi-prompt protocol design, AI-assisted clinical case reasoning, and applications in caregiver education settings.

↗ View on ResearchGate

Preprint

A Composable Multi-Agent Clinical Cognitive Architecture

The most technically ambitious VibeRounds paper — proposes a composable multi-agent architecture grounding clinical AI in cognitive science, with modular agents mapped to distinct clinical reasoning functions.

↗ View on ResearchGate

Preprint

VibeRounds: Pipeline Architecture, Protocol Dependency Networks, and the Master Case Analysis Protocol

A structural and systems design paper mapping the full pipeline architecture, inter-module dependency networks, and the master case analysis protocol that underlies the VibeRounds learning stack.

↗ View on ResearchGate

Preprint

VibeRounds: A Socratic AI Paradigm for Clinical Reasoning, Case-Series Analysis, and Global Knowledge Architecture

Synthesis paper extending the Socratic AI paradigm to case-series analysis and global knowledge architecture — situating VibeRounds within a broader framework for population-level clinical learning.

↗ View on ResearchGate

Preprint

Erythema ab Igne as an Acute Cutaneous Sentinel: A Nested Case Analysis Using the VibeRounds Module 22 Framework

A nested case analysis applying VibeRounds Module 22 to Erythema ab Igne — demonstrating how the framework surfaces rare cutaneous findings as sentinel signs of underlying systemic pathology.

↗ View on ResearchGate

Full Publication List

All preprints and works in progress are maintained on ResearchGate by Dr. Avinash Kumar Gupta.

↗ View ResearchGate Profile