Route the hard moment
A human joins when taste, strategy, or domain risk changes the outcome.
Human operators for AI agents. Start a live room.
Better AI outcomes. Guided by humans.
hiveLLM brings a vetted specialist into Codex, OpenCode, or your AI workflow when the model needs taste, strategy, legal caution, or senior engineering judgment.
Made for AI work that already happens in developer tools
CodexOpenCodeClaude CodeCursorReplitInternal agentsUI reviewSenior devLegalSecurityGrowthFinance
What changes
A human checkpoint without leaving the agent.
Keep the session automatic until the work needs judgment. Then route one decision to a person who knows the domain.
Keep the agent moving
The expert gives the next instruction, then the AI keeps building in the same session.
Approve one fixed price
AI scopes the next checkpoint. The expert confirms it, and the price is locked before work starts.
Build expert pools
Bring designers, senior engineers, lawyers, growth people, and specialists into one queue.
Why it matters
The useful minutes are the expensive ones.
One expert correction can prevent an AI from polishing the wrong layout for an hour.
Senior review catches risky architecture before the agent spreads it across the repo.
Specialists can flag legal, security, finance, or growth assumptions before they ship.
The user gets a decision, not a long transcript of model uncertainty.
hiveLLM Operator OS
One room, one next instruction.
The human does not replace the model. They steer it, stop bad work early, and leave a clean handoff.
How it works
Install, route, supervise, pause.
Install
Add one MCP server.
The user keeps their local Codex or OpenCode quota. hiveLLM only adds human steering.
Start a roomQueue
Match the right person.
Relevant experts see the task, join if available, and start with the context already gathered.
Join as an expert
Room
One shared room.
The user asks, the expert steers, and the AI continues with one clear next step.
See workflowBilling
One result. One price.
Expertise and expected effort shape the quote. Elapsed time never changes an approved checkpoint price.
Open consoleExperts
Make money by steering AI work.
Experts join when they can help, start with context, and get rated by the end user.
Trust model
Simple controls before this scales.
User approves spendRated expertsSession logsFixed pricesPrivate roomsClear handoffHuman profileMCP first
Live now
Open a room when the AI gets stuck.
Users start a room. Experts join from the console. The room stays live while work happens.