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Veterinary AI Brief

Veterinary AI Brief

Di: Robert Sanchez
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Welcome to the Veterinary AI Brief - your guide to navigating the rapid stream of AI in veterinary medicine. Hosts Robert (Digital Empathy), Aaron (CoVet), and Adam (Exponential Animal Health) share clear, actionable insights to help practitioners and entrepreneurs use AI with confidence.2025
Episodi
  • Episode 19: As AI Breaches Internet Security, Vets Need a Plan

    Episode 19: As AI Breaches Internet Security, Vets Need a Plan
    Oct 27 2026
    In this episode of the Veterinary AI Brief, hosts Robert Sanchez (co-founder and CEO of Digital Empathy) and Dr. Adam Little catch up after a month off and cover two fast-moving stories.First, they look at the recent wave of security vulnerabilities. The hosts say open-weight AI models are now strong enough, and cheap enough to run, that attackers can scan for weak sites and hit them at scale. They discuss the PHP zero-day, which affects WordPress sites, and the reported Quest Diagnostics breach. They also cover what practices can do about it today.Second, they discuss the rise of always-on personal AI assistants, such as ChatGPT's Dots, Grokbot, Instinct and Muse. They talk about how these tools help individuals, and what happens when pet owners' AI agents start emailing, calling, booking and complaining on their behalf. They end with how practices can prepare.Resources Robert plans to share in the episode post: a screen-share chart of the exponential growth in vulnerabilities, and a free "Tripwire" template. The template inventories your systems, scans for relevant attacks every half hour, and flags or fixes issues. Timestamps 0:10 Welcome and catch-up 2:25 The security wave: Mythos, PHP and Quest 11:03 What to do right now 18:47 The rise of personal AI assistants 25:49 Resi, AI complaints and agents calling clinics 29:17 Agent traffic and why friction hurts 37:22 Productivity gains and closing advice 6 takeaways Open-weight models changed the threat. Safeguards have been stripped from models that run locally, so attackers use agents to find vulnerable targets rather than choose them. Text your developer today. Ask whether your site is patched against the PHP vulnerability, what PHP version it runs, and whether anyone has checked for backdoors. Robert says about 40% of sites run a PHP version that will never get a fix. Harden the basics. Use unique passwords and two-factor authentication. Set a safety word with family, since voice cloning is now convincing. Use AI as your defense. Ask Claude to interview you about your systems and flag what's vulnerable. Robert's Tripwire bot does this on a schedule. AI agents are your new clients. Reservation platforms like Resi are already seeing bots hit them hundreds of times an hour. Clinics will see more AI-drafted complaints, calls, record requests and pricing queries. Hard-to-use booking, intake and pricing will frustrate agents, and agents don't give up. Get hands-on now. Try a proactive assistant, give it your context, and learn what it can and can't do. Robert expects that no practice will be able to stay non-agentic within about two years.
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    41 min
  • Episode 18: What Veterinary Teams Can Do With AI Now

    Episode 18: What Veterinary Teams Can Do With AI Now
    Sep 18 2026
    AI can do more than answer questions. What should veterinary teams actually let it do?

    Robert Sanchez, Adam Little, and Aaron Massecar explore new possibilities for client education, computer work, and clinical decision support, alongside the questions of trust and oversight that come with them.

    Robert shares an AI-assisted visual explainer and what it could mean for helping pet owners understand care. The hosts debate where to start with computer-use agents, how to keep people in control, and why better clinical answers still need a connection to real patient outcomes.

    In this episode:

    • How the hosts are thinking about AI risk and safety.
    • Computer use and visual design: what new capabilities could change for veterinary teams.
    • Personalized client education and interactive learning.
    • Choosing a useful first task, setting boundaries, and watching the results.
    • Clinical decision support, trusted sources, and the missing outcomes loop.

    Try the client-education exercise discussed in the episode:

    "Help me identify six topics I repeatedly explain to pet owners. Ask me about the questions clients find hardest to understand. For the most useful topic, propose a short visual explanation with one clear takeaway, a simple storyboard, and a list of medical claims for a veterinarian to check. Use generic examples and no identifiable patient information. Draft the concept first, then wait for my feedback."

    Not sure where to start with AI? Try Robert's interview approach:

    Ask your AI: "Interview me, one question at a time, until you understand what matters most in my work, what repeatedly gets in the way, and what a useful result would look like. Then ask what must never happen, what information is off limits, and which actions need my approval. Summarize what you learned and suggest three small tasks I can review myself. Recommend one and explain how we'll know it helped. Start with information I provide here; ask before accessing other systems."

    Choose a task you have authority to do, review its output, and keep a veterinary professional responsible for clinical content.

    What is one task you would like AI to help your team with? Tell us in the episode comments, and follow Veterinary AI Brief for the next conversation.

    Recorded September 14, 2026.

    Chapters:
    00:00 Welcome
    01:13 AI risk and safety
    15:33 Astra and computer use
    19:05 Visual client education
    29:24 Where should a practice start?
    37:35 Have AI interview you
    39:13 Clinical decision support
    45:04 The missing outcomes loop
    46:07 Novel context and the bitter lesson
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    48 min
  • Episode 17: Proactive agents, clinic workflows, and the security tradeoff

    Episode 17: Proactive agents, clinic workflows, and the security tradeoff
    Aug 26 2026
    This episode looks at three connected shifts in veterinary AI: tools moving from reactive chat to proactive agents, practical clinic use cases like follow-ups and meeting notes, and the growing security and compliance concerns that come with deeper integrations. Mark McDonald is joined by Dr. Adam Little and Aaron Massecar to map where the industry is already experimenting and where the biggest risks are emerging.We discuss how agentic tools like Grokbot are changing the way work gets done, how veterinarians and students are using AI to learn and improve, and why security, vendor vetting, and data handling are becoming non-negotiable. Key topics In this episode, Mark McDonald, Dr. Adam Little, and Aaron Massikar discuss the shift from reactive AI to proactive AI that actually picks up tasks. Grokbot is framed as a productized, agent-based workflow system where users assign bots specific jobs like revenue tracking, commitment follow-up, and research monitoring. Adam explains why the onboarding experience matters: the value of AI is much easier to access when the system can proactively prompt users and connect to tools with less setup friction. A major theme is the move from thread-based AI use to identity-based digital workers that repeatedly handle a defined role or workflow. The hosts explore veterinary use cases like no-show outreach, post-surgical follow-ups, invoice generation, estimate drafting, and client summaries. Aaron describes how AI meeting notes are evolving from simple transcription to analysis of communication quality, compliance, tone, and response patterns in real clinical conversations. The conversation expands into multiplayer AI, where veterinarians could opt in to share examples, learn from each other, and collaborate through AI-mediated peer learning. Aaron shares what he is seeing in veterinary schools: students are now building their own tutors, study guides, and practice tools for the NAVLE and sharing them with classmates. The security segment focuses on the risks of deeply connected AI systems, including training-data exposure, unintended actions, model misbehavior, and broader enterprise attack surfaces. The discussion closes with a warning that organizations need policies, vendor vetting, and security scaffolding now, because employees will use these tools with or without formal approval. Timestamps 00:00 - Episode setup: proactive AI, security, and vet use cases 01:13 - Grokbot and the shift from chat to task-doing agents 02:12 - How users assign bots specific jobs and workflows 03:32 - Connecting agents to email, Salesforce, and other context 04:25 - Why easier onboarding matters for mainstream adoption 05:24 - From threads to ongoing digital workers with identity 06:18 - SpaceX, Cursor, and the compute advantage behind Grokbot 07:39 - The emerging "super app" for knowledge workers 08:30 - Scheduling, task coordination, and performance feedback loops 10:43 - High-value veterinary jobs these agents could pick up 11:38 - Meeting notes as the path from transcription to automation 12:38 - When AI starts completing tasks instead of just identifying them 13:06 - Using AI as a communication coach across clinical conversations 15:03 - Clinics using recorded conversations to improve together 16:01 - Applying feedback to medical explanations and HR meetings 17:27 - The idea of multiplayer, opt-in veterinary learning networks 19:19 - AI embedded in collaborative tools like Slack and chat 20:46 - Aaron on how vet student use has matured over the past year 21:42 - Data hygiene, training concerns, and privacy awareness 22:36 - Students building their own NAVLE tutors and software 24:02 - Why personalized tutors may matter more than static study notes 25:26 - Hyper-personalized learning pathways and student excitement 26:54 - Embedding critical life context into agentic systems 27:28 - Why deeper integration creates a catch-22 for security 28:56 - Example of an agent taking action without intended permission 30:21 - Unprompted data exposure risks and frontier model concerns 31:44 - Why employees will keep using AI even if organizations lag 33:04 - Open-weight models, hacks, and the likelihood of more attacks 34:53 - Cyber defense programs and hardening enterprise systems 35:35 - Compliance maturity: SOC 2, ISO, HIPAA, GDPR, and DPAs 37:27 - Why veterinary is not the first target, but still needs readiness 38:26 - Vector database risks and reverse engineering concerns 39:25 - Security innovation as AI pressure-testing continues 40:48 - Why the answer cannot be to avoid connecting critical systems 42:14 - WordPress, vendor vetting, and reducing attack surfaces 43:36 - Closing thoughts and trying Grokbot in practice
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    44 min
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