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Problems we've
solved.

The technical specs are in the tags. These are the business problems behind each build — what existed before, what we replaced it with, and what changed after launch. Some work is under NDA; ask on a call if you want to see more for a specific problem area.

studio98.ai
S98
2025 · AI Platform

2025 · AI Platform

Multi-tenant AI agent orchestration

Before: The client was managing separate codebases per business client — every new customer meant a new deployment.

We designed and built a single orchestration platform that serves multiple businesses from one codebase — voice agents, chat agents, and automation all managed from one dashboard.

→ Onboarding a new client went from days of deployment work to under an hour.

Next.jsLangChainPineconeVAPIPostgres
rave-2.0
R2
2024 · SaaS · E-commerce

2024 · SaaS · E-commerce

Multi-tenant e-commerce platform

Before: A legacy single-tenant system required a full server per store — scaling meant doubling infrastructure costs.

We rebuilt the platform as true multi-tenant SaaS — shared infrastructure, custom domains per storefront, and Stripe billing wired to each tenant.

→ Hundreds of storefronts now run on infrastructure that previously required individual deployments.

LaravelReactRedisStripe
baynton.client
IIA
2024 · Voice AI

2024 · Voice AI

Intelligent interview automation

Before: A recruiter was spending four hours per day on initial screening calls that could not scale.

We built a voice agent that conducts the first screening call autonomously — qualifying candidates, checking availability, and booking confirmed interviews into the calendar.

→ Four hours of daily screening calls now run overnight, without human involvement.

VAPIElevenLabsn8nGoogle APIs
inspector.tools
MCP
2023 · Developer Tools

2023 · Developer Tools

MCP Inspector

Before: Testing AI agent tool integrations had no standard debugging environment — every test required custom scripts.

We built a custom inspector and test harness for Model Context Protocol servers, with real-time WebSocket monitoring and diff tooling for agent responses.

→ Agent tooling development and QA cycles reduced from days to hours.

TypeScriptMCPNode.jsWebSockets