RubricHQ vs Bluejay

Dashboards are good at showing that a number moved. They’re weaker at showing why. Here are four places where that gap costs teams time.

Bluejay groups production failures into issues, with logs, traces and dashboards behind them. RubricHQ’s Flow adds the shape of the conversation. You define stages, for example Greeting → Authentication → Balance Notification → Payment Option Selection, and Flow shows how many calls move between them and where they fall out. Toggle between production and simulation to compare what you tested with what really happened.

It also writes out the biggest divergence in plain language, separating ideal paths (outcomes that pass at least 80% of the time) from problem paths. Click a stage or a band to read the calls behind it, filtered to all, passed or failed.

Bluejay’s Issues match each production failure to similar ones from your other conversations, with a priority, a status and a conversation count. From there you investigate with its AI assistant or copy a fix prompt. That tells you which problems are most common.

RubricHQ puts the answer on the card itself: stage, severity, a 30-day count, evidence calls, a “what goes wrong” explanation and a “what the agent should do” recommendation. Each card moves through Open, Fix suggested, Fix applied or Dismissed, so nobody on the team wonders what’s still outstanding.

Bluejay’s Self-Improve is automatic. It generates metrics, runs your simulation, diagnoses one failure pattern, rewrites the prompt and keeps the change only if the pass rate goes up. To do this it pushes each test prompt to the live agent on its platform, so it should run on an agent you use for testing. You confirm a preview before the run starts, and a prompt that beats the baseline is saved as a new agent version you can roll back to.

RubricHQ works the other way. You select up to five calls, and the optimizer lists the gaps it sees, each linked to a failing metric and the calls that show it. You edit, delete or add gaps before it writes anything. It then drafts a rewrite for your model with a word-level diff.

Approving the change updates your RubricHQ test agent. A second step pushes the same prompt to your live agent in Vapi or Retell. Every optimization is versioned and can be rolled back.

Type “how many calls ended with only a partial payment?” or “which callers needed more than one attempt to verify identity?” Choose a time range and a source (production, test runs, or both) and get a table with call, time, duration and outcome, exportable to CSV.

Give RubricHQ your prompt and it generates the scenarios. They run as real calls through Vapi, Retell, LiveKit or Pipecat on every plan. Personas vary by mood, accent and 65+ languages.

Metrics come in system, agent and global sets, with LLM-as-judge and code-as-judge options, and an AI generator can draft new ones. You switch each metric on or off per agent.

Pay as you go is $0: 200 credits, no card, valid 14 days. Growth is $399 a month for 12,000 credits and up to 50 team members. It adds the Prompt Optimizer, Co-Pilot, Flow (with ideal and problem paths), Discovery, alert monitors, scheduled runs and SSO.

Enterprise adds a custom credit volume, unlimited team members, an SLA with guaranteed uptime, data residency, on-prem hosting, and priority and dedicated support. Contact us for current security, hosting and data-handling details.