? Halyard
Now in public beta

Autonomous agents, human guardrails

Stop your AI agents from going down the wrong path. When they need human judgment or implicit knowledge, Halyard connects them to the right expert—before a wrong assumption becomes wasted work.

The hidden cost of incomplete knowledge

AI agents are powerful, but they don't know what they don't know. When they hit a gap in documented knowledge, they make assumptions. Sometimes they're right. Often they're not. And the cost isn't just the wrong output—it's the hours spent building on a flawed foundation.

Works with your favorite AI tools

Claude Code
Claude Desktop
Cursor
Windsurf
Any MCP Agent

Three steps to human-in-the-loop AI

1

Configure your experts

Define your team's experts by role and skill. Connect your Slack workspace so they can receive and respond to questions.

2

Connect via MCP

Add Halyard to your AI tools via MCP. Works with Claude Code, Claude Desktop, Cursor, Windsurf, and any MCP-compatible agent.

3

Agents ask, experts answer

When your AI agent needs human input, it asks the right expert via Slack and receives the answer in real time.

See it in action

Your agents ask questions in Slack. Experts answer. Knowledge compounds.

AI agent asking a question via Halyard in Slack, with an expert responding

AI agents ask questions directly in Slack. Experts respond without leaving their workflow.

Halyard routing a question to the right expert and capturing knowledge

Every answer is captured as organizational knowledge for future reference.

The knowledge base that builds itself

Every question asked. Every answer captured. Your organization gets smarter with every interaction.

The right expert, in seconds

Route questions to experts by role (PM, designer, architect) or skill (security, UI, database). No more guessing who to ask.

Answers where your team already works

Experts receive questions in Slack and respond without leaving their workflow.

Knowledge that was never written down

The decisions that live in people's heads. The preferences no one documented. Finally accessible to your agents.

Never answer the same question twice

Every answer becomes organizational knowledge via semantic search. The more you use it, the less you need to ask.

Multi-turn conversations

Agents can have back-and-forth discussions with experts, ask follow-ups, and get the full context they need.

Works with any MCP tool

Built on Model Context Protocol for seamless integration with Claude Code, Claude Desktop, Cursor, Windsurf, and more.

Built for every team

Give your AI agents access to the expertise they need.

Engineering

Agents can ask architects about design patterns, PMs about requirements, or get quick clarification on implementation decisions.

Design & Product

Get real-time input on UI decisions, brand guidelines, or user experience questions from your design and product teams.

Sales & Marketing

Agents can verify pricing, check messaging guidelines, or get approval on custom solutions from leadership.

Stop the guesswork. Start the feedback loop.

Your agents will make fewer wrong assumptions. Your team's knowledge will compound. And you'll spend less time fixing avoidable mistakes.