Led by a builder,
not a buzzword.

Limeade Labs is the product and engineering practice of Ryan Eade, based in Holly Springs, North Carolina.

Two decades of shipping software across gaming, healthcare, consumer services, and enterprise SaaS. From founding a creative studio to leading product and engineering as Chief Product & Technology Officer at high-growth companies, the through-line has always been building things that matter and then living with what got built.

That operating history is the reason the advice is worth anything. Deciding which twelve tools to expose out of two hundred endpoints is not a protocol question. It is a product and architecture decision, and it is made better by someone who has owned a roadmap, an engineering org, and the consequences of both.

What the practice does

Six kinds of work, and they overlap more than they separate:

• Agentic development for teams — restructuring how an engineering team builds so agents take on real work end to end: context, review gates, and CI that keeps people in the loop.
• AI product and hard problems — the features customers renew for, and the integrations with systems that have no API: LLM integration, web automation, structured extraction, eval-based controls.
• Agent readiness and MCP — an MCP is a product, not a connector. Tool surfaces designed for agent outcomes and token efficiency, then built: MCP servers, OAuth and permission mapping, tenancy, cross-client conformance.
• Agentic sales and marketing — moving a GTM team's manual research, enrichment, outreach, and reporting onto agentic flows, with people at the decision points and outcomes measured.
• AI cost optimization — spend audits, model routing, caching, and per-feature budgets, with evals that prove quality held.
• Fractional CPTO and AI strategy — senior product and engineering leadership without a full-time hire. Roadmap, architecture, team structure, technical due diligence, and where AI actually pays off.

How it works

Engagements are small and direct. There is no bench, no account manager, and no handoff to a delivery team you have not met. The person who sets the strategy is the person who builds it, which keeps the strategy honest, because it has to survive implementation.

The practice also builds its own products, and that is not a side activity. Clarabit, the coordination layer this practice runs on, was built MCP-first specifically to answer the question clients now pay us to answer: what does it actually take to make a product operable by an agent? Shipping it, using it daily, and watching it break in unexpected ways is where the patterns come from.

Smaller things built here: SparkUI, an open-source tool that turns any AI chat or workflow into an instant, shareable web page, and BrightBlaze, group backcountry trip planning with routes, gear, weather, and safety prep in one place.