Listens to everything, the moment it happens.
Every signal — a billing failure, a Sentry spike, a support ticket, a PR comment — gets scored 0 to 1 as it arrives. Nothing waits for a human to notice it first.
Signal Triage
Tell TrovarAI what you are building — even if you only have an idea. Eleven AI specialists take it from there: they listen to your users, propose work, write the code, review each other’s work, and ship it. You only see the moments that need your call.
Every signal — a billing failure, a Sentry spike, a support ticket, a PR comment — gets scored 0 to 1 as it arrives. Nothing waits for a human to notice it first.
Four voices — PM, Engineer, Devil’s Advocate, CPO — review every proposal from four angles. An overconfident result gets flagged for you, not shipped quietly.
Line-level comments, root-cause checks, up to three revise cycles — before a Pull Request ever reaches your inbox.
An adversarial plan when the PR opens, canary monitoring through rollout, a final check seven days after merge.
A weekly pass across your whole codebase — hot files, recurring bug classes, refactors with real effort estimates.
Five things happen, in order, every week. None of them require you to be technical.
It does not matter where you are. The platform activates the right agents for the stage you are in — a project at idea stage has only the Bootstrapper turned on, while a project at active stage runs the full team of eleven.
Drop in a CLAUDE.md or prompt.txt. The Bootstrapper reads it, drafts a starter feature list, recommends a tech stack with reasons, and tells you which connectors you will want first.
Connect it. TrovarAI reads your README, scans the structure, and starts triaging signals from issues, pull requests, and any data sources you wire up. Builds run within the same week.
Open the brainstorm flow. Answer four questions: what does this solve, who uses it, what does the first version need, what would success look like? TrovarAI takes it from there.
Eleven specialists, each with a single job. They never sleep, never lose context, and they all learn from every project on the platform.
Reads every signal as it arrives, scores it 0 to 1, flags anything urgent.
Gates the weekly briefs before you see them. Will not publish without enough evidence.
Reviews every proposal from four angles, then synthesizes a single recommendation.
Decides if a proposal is safe for an autonomous build. Blocks anything that needs a human eye.
Runs the priority queue across every project. Critical fixes from Enterprise tier go first; nothing is left to starve.
Reads every diff, leaves line-level comments, blocks anything that does not actually fix the root cause.
Adversarial test plan when the PR opens. Canary monitoring during rollout — checks error type, not just rate. Final verification 7 days after merge.
Once a week, looks across your codebase. Spots hot files, recurring bug classes, and proposes refactors with effort estimates.
When a connector breaks, this agent diagnoses the failure and writes a runbook so the next failure goes faster.
Every Sunday, scans for competitor launches. Flags briefs that are losing relevance because someone else just shipped it.
Reads your project intent and produces the starter plan. Only fires while the project is still at Idea or Designing stage.
When billing and error signals appear together within twenty-four hours, it is almost always a critical bug.
That is a platform pattern — something one of the projects on TrovarAI taught the system. After three independent observations across different projects, the pattern becomes a prior. From then on, every relevant agent reads it at the start of every run. Your tenth project starts with the wisdom of the first nine, automatically.
You can browse the full library at /patterns — each entry has a confidence score and an observation count, so you can see which lessons have been earned and which are still tentative.
Once a week, an agent called the Governor reviews every other agent on the platform. It checks success rates, median latency, and how often a human had to step in. If an agent is slipping, the Governor asks a senior model to draft an improved prompt — not as a deploy, but as a candidate.
The candidate goes into a 20% A/B test against the current prompt. Two weeks later (or sooner, if the difference becomes obvious), the Governor either makes the candidate the new default or rolls it back. Failures are logged. Successes become the next baseline.
You can watch the whole loop happen at /governance: pending proposals, in-flight A/B tests with their current outcome delta, and a snapshot of how each agent has been performing this week.
Most of TrovarAI runs without you. Here is the part that does not.
Open your inbox. A short list of new proposals is waiting. Approve, reject, or snooze.
Review and merge Pull Requests in your usual GitHub flow. The agents have already reviewed them.
Pop into the Control Center to see what the agents are thinking, what they have shipped, and what they want to ship next.
A high-risk proposal will show up in the Governance backlog asking for your call. You will see it; nothing will happen until you decide.
Three rules the platform will never bend, even when it would be faster.
Every change goes to its own branch. If anything fails, your main is untouched.
Generated code runs through pattern checks for credentials, eval, shell injection, raw SQL. A single hit blocks the PR. No exceptions.
If Anthropic times out, the call falls to OpenAI, then Google, then Groq. Same response shape, fewer outages.