AI-powered software, built and made production-ready for founders and businesses

Wild Hare Technologies helps businesses put AI to work — from first prototype to something you can trust in production.

Who We Work With

Founders and product-focused businesses. Typically:

Founders and businesses building a product or internal tool, often using AI coding tools for the first time (“vibe coding”)
Teams experimenting with AI to automate workflows or build customer-facing features
Builders who have a working prototype and need help making it reliable and ready for real users

Services

AI Workflow & Application Builds

We design and build AI-powered workflows and applications — chatbots, agents, internal tools — that run consistently in production, not just as a demo.

Off-the-shelf software doesn’t fit your workflow, and custom software is normally slow and expensive → we build purpose-built tools in hours or days, not months
Your team loses hours turning goals or raw information into a finished, usable result → chat-driven apps that do that work for you
Valuable data is locked away and hard to explore → LLM-accessible interfaces (e.g. an MCP server) that make it interactively queryable instead of building a whole standalone app

AI Coding Best Practices & Education

Hands-on guidance for teams new to AI-assisted development. We teach practical patterns and guardrails for using AI coding tools well, so AI-generated code stays maintainable as it grows.

Multiple AI coding tools (Cursor, Claude Code, Copilot) produce inconsistent code and occasional hallucinated dependencies → automated verification checks that catch issues before they reach production, without labor-intensive manual review
Code review feedback stays stuck in a review tool, disconnected from the coding agent that would actually implement the fix → a workflow that lets you pull suggestions straight into your coding agent to prioritize and fix

Production Readiness Audits

We audit AI- and vibe-coded software for security, performance, and reliability, and provide a clear, prioritized plan to get it production-ready.

AI-generated reports and summaries can contain fabricated statistics or names → automated feedback loops that catch and correct errors before they reach a stakeholder
AI coding tools need broad file access to be productive, which can expose credentials and sensitive data → tool permissions and security settings configured so assistants stay productive without the risk
Agent tools and skills inherit access to all your environment credentials by default → a gateway that lets agents use external tools without exposing sensitive credentials
A default AI configuration can silently drive usage costs sky-high → tuned model routing and context handling to bring costs back in line with actual usage

Contact Us

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