I'm Devin Lockett, an independent AI consultant. I help founders, teams, and practices turn AI from hype into working systems — from stack architecture and automation to prompt engineering, evaluation, and hands-on team training. Available for hourly engagements at $450/hour.
End-to-end AI consulting — from choosing and building your stack to prompting, evaluation, deployment, and training your team. Engaged hourly at $450/hour.
Find where AI actually creates ROI, prioritize the right use cases, and build a pragmatic adoption roadmap that fits your budget and risk tolerance.
Select and configure the right pieces — models (Anthropic, OpenAI, open-source), vector databases, orchestration (LangChain / LlamaIndex), infrastructure and tooling — assembled for your use case.
Design and build production systems — RAG pipelines, agents, chatbots, and automations — wired into your existing software, data, and APIs.
Write, test, and optimize system prompts and reusable prompt libraries: structured outputs, few-shot examples, and prompt patterns that make models reliable and consistent.
Turn your documents and knowledge base into an assistant that answers accurately with citations — chunking, embeddings, and retrieval tuning.
Build multi-step agents and workflow automations that take real action — research, drafting, data entry, outreach, reporting — with the right guardrails.
Build eval suites and benchmarks that measure quality, catch regressions, and prove the system works before it ships.
Match the right model to each task and balance quality, latency, and cost — cutting token spend without losing performance.
When prompting isn’t enough: dataset preparation, fine-tuning, and customization for domain-specific accuracy and voice.
Guardrails, red-teaming, data privacy, and responsible-AI policy so your deployment is safe, compliant, and defensible.
Ship to production with monitoring, logging, versioning, caching, and rate-limit handling — reliable and observable.
Hands-on workshops that upskill your team in prompting, tools, and AI-assisted workflows so the capability stays in-house.
Simple, transparent, and independent — you work directly with me, not a layer of account managers.
Hourly consulting for discovery, architecture, building, prompt work, and review. Billed in 30-minute increments, invoiced as we go. No retainer required to start.
For larger builds or ongoing support, I scope fixed-price projects or monthly retainers on request — so you can budget with confidence.
A short discovery call to understand your goals and constraints, then a clear written proposal and next steps. Remote and worldwide, async or live.
Reflections and field notes from April 2026.
Artificial intelligence has moved from conference-slide novelty to a working part of the medical technology landscape: the U.S. Food and Drug Administration has now authorized more than a thousand AI- and machine-learning-enabled medical devices, with 2024 alone adding well over a hundred new authorizations. For the biomedical service world, the practical value is less about the algorithms inside a scanner and more about the workflow around it — predictive maintenance that flags a failing component before it fails, automated documentation that keeps preventive-maintenance records audit-ready, and AI-assisted triage that helps a technician reach the likely root cause faster. None of this replaces a qualified technician; the FDA and independent researchers alike stress that these tools are decision support, requiring human oversight, validation, and appropriate hedging of any diagnostic claim. Used well, AI shortens downtime and strengthens the paper trail — two things every service program is judged on.
Sources: FDA — AI-Enabled Medical Devices · npj Digital Medicine — AI device taxonomy
An upcoming conference talk takes up a question every hospital and service organization is now facing: how to adopt AI in healthcare technology responsibly, at the pace the field is actually moving. With the FDA’s roster of authorized AI- and machine-learning-enabled devices now past the thousand mark, the bottleneck is rarely the technology — it is governance, validation, staff training, and the integrity of the data these systems learn from. The session frames practical adoption for biomedical and clinical-engineering teams: where AI genuinely reduces risk and downtime, where it introduces new failure modes, and how to keep a human accountable at every decision point. The throughline is earned trust: deploying tools that are documented, monitored, and honest about their limits. Details and dates will be posted here as the engagement is confirmed.
Sources: FDA — AI-Enabled Medical Devices · World Health Organization — AI in health
Across four decades spanning filmmaking, medical equipment work, and holistic practice, the tools have changed beyond recognition while the fundamentals have not. Film went from celluloid to sensors; biomedical service went from analog meters to networked, software-defined machines that the FDA increasingly regulates as AI-enabled devices. The lesson for younger practitioners is that technology rewards those who master the fundamentals first — safety, documentation, and honest craft — and then let new tools amplify that foundation rather than substitute for it. The caution is equally durable: every generation’s “magic” technology has limits and failure modes, and the professional’s job is to understand them, not to be dazzled. Curiosity paired with skepticism is the posture that has aged best, and it is the one I would pass on.
Sources: FDA — AI-Enabled Medical Devices · National Institute of Standards and Technology — AI
The context shaping practical AI work across every domain this year.
65% of organizations report using generative AI in at least one business function — roughly double the rate from ten months earlier (McKinsey, Q1 2026). Practical, domain-specific AI has moved from experiment to everyday tool.
The generative AI market is valued at roughly $67 billion in 2026 and is projected to reach $1.3 trillion by 2032, with content creation, code generation, and customer interaction the leading use cases (Bloomberg Intelligence / industry reporting, 2026).
Download our free illustrated guide — practical, current, and written for 2026.
We combine real expertise with genuine care — and we make it easy to say yes. Here is what you can expect when you work with Devin Lockett.
A track record of launching and growing real ventures across healthcare, wellness, media, and community.
Ideas turned into working businesses — with a bias for action and results.
Collaborative, transparent, and invested in outcomes that matter to you.
Whether it is a project, a booking, or a partnership, the door is open.
Devin Lockett is the founder and entrepreneur behind this venture and the wider BiomedRx family of companies—spanning healthcare technology, wellness, media, and community initiatives. He builds brands focused on quality, service, and independent ownership.
More from Devin Lockett: devinlockett.com · devinlockett.tv · 424-204-2382
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