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Client Work · PicnicHealth
AI enablement, embedded with the team.
PicnicHealth is a San Francisco health technology company that brings a patient's complete medical history into one place and powers real world research. Trevor joined the team as an AI enablement engineer, building Model Context Protocol servers and streamlining the everyday workflows that keep the team moving.
- servers connecting internal tools to AI assistants
- MCP
- AI enablement engineer on the team
- Embedded
- streamlined with custom automation
- Workflows
The engagement
What the work looked like.
MCP Servers
Built Model Context Protocol servers that connect the team's internal tools and data sources to AI assistants, so the assistants work with real context instead of guesswork.
Workflow Streamlining
Turned repetitive, manual steps into custom automation, taking friction out of the everyday work the team was already doing.
Team Enablement
Worked alongside the team so they could build, run, and extend these AI workflows themselves, rather than depend on one person to keep them alive.
Internal AI Tooling
Connected AI into the tools the team already used, meeting people where they work instead of adding one more place to check.
Trevor's role
Trevor worked as an AI enablement engineer with the PicnicHealth team. The focus was practical: build the connective tissue between AI assistants and the company's internal tools, then hand the team workflows they could own.
That is the Vaib Studio approach. Build the thing, then make sure the team can run it without us.
- AI Enablement
- Model Context Protocol (MCP)
- Workflow Automation
- Internal Tooling
- Claude AI
- TypeScript
Questions prospects ask
Straight answers.
- What is an AI enablement engineer?
- Someone who makes AI genuinely useful inside a company. That means connecting AI assistants to the tools and data a team already relies on, then building workflows around them so the work gets faster instead of more complicated.
- What are MCP servers?
- MCP, the Model Context Protocol, is an open standard for connecting AI assistants to external tools and data. An MCP server exposes a specific tool or data source so an assistant can use it safely and consistently. Trevor built these against PicnicHealth's internal systems.
- What did Vaib Studio do for PicnicHealth?
- Trevor embedded with the team as an AI enablement engineer, built Model Context Protocol servers connecting internal tools to AI assistants, and streamlined everyday workflows with custom automation.
- Can Vaib Studio do this for our team?
- Yes. We embed with your team, connect AI to the tools you already use, and build workflows you can run yourselves. Book a free intro chat and we will show you what that looks like.
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