Bug reports reproduced before they reach engineering
The Bug Report Triager reproduces the report, checks it against open issues, and files engineering a clean, deduplicated ticket with the steps already written.
Bug report · CSV export fails
Bug Report TriagerA bug report about a broken export. I reproduce before I file, so engineering gets something real.
Reading the report and the steps the customer gave3sThey say CSV export hangs then errors. They mentioned a large dataset, which is a useful clue.
Reproducing the export on datasets of varying size7sReproduced. It works up to about 10k rows and fails cleanly above that with a timeout. That is a specific, fileable bug.
Searching open issues for a match2sFiling a clean issue with the repro and threshold2s
How it works
Ticket tagged · bug
Chat · “something broke”Agent flagged a defectReport reopened
Issue filed · clean reproSteps and environment attachedDuplicate linked, not refiledMissing detail requestedTriggered by bug reports
When a ticket is tagged a bug in Zendesk, or another agent flags one, the Bug Report Triager picks it up and starts reproducing.
Reproduces and dedupes first
It recreates the issue, pins down the conditions, and searches open issues before filing, so engineering gets a confirmed, unique bug rather than a raw complaint.
Files clean, or asks for more
A reproduced bug is filed in Linear or Jira with steps and environment. When it cannot reproduce, it asks the customer for the missing detail instead of filing noise.
Without Relevance
With Relevance
A pasted customer quote lands in the backlog and an engineer starts triage from zero.
The agent files a reproduced, structured ticket with steps, environment and the error, so work starts on the fix.
Reproduction waits for an engineer to find time, days after the report.
The agent tries to reproduce the moment the report arrives, while the customer context is fresh.
The same bug gets filed five times and clutters the backlog.
The agent searches open issues first and links the customer to the existing one instead of filing another.
Only the loudest or best-written reports get properly triaged.
Every report gets the same reproduction attempt, whether it is a crisp repro or a one-line complaint.
Ticket quality depends on which agent wrote it up and how rushed they were.
The same reproduction rigor and ticket structure on every bug that comes through.
Unreproducible reports get filed anyway as noise engineering has to sift.
When it cannot reproduce, the agent asks the customer for the missing detail rather than filing an unactionable ticket.
Held to a quality bar, on every run
Every ticket is checked against eval test cases written for this exact job before it reaches engineering. If a run fails the bar, it never ships.
Bug Report TriagerSampling 2% of live runs · 93% passing this week
Shaped by your team, not a template
Experts and engineers tune Bug Report Triager to your playbooks. Every change ships through the same evals.
Drag and drop
Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.
Drag and drop
Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.
Ticket TriagerBuild with AI
Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.
Build with AI
Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.
Claude Code
CodexBuild with MCP
Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.
Build with MCP
Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Security & data privacy
- Data residency
- PII masking
- Audit logs
- No training on your data
Access & controls
- Role-based access control
- SSO / SAML
- Human-in-the-loop approvals
- Version control
Monitoring & oversight
- Real-time monitoring
- Full agent tracing
- Cost visibility
- OTEL & Delta Share export
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
Team it up with more customer support agents
Resolved · CSAT 5Ticket Resolver
Resolves routine tickets, escalates the rest.
Breach risk · 2h leftSLA Watchdog
Reprioritizes the queue before an SLA breaks.
Fix: slow first replyCSAT Responder
Recovers low CSAT scores and surfaces the drivers.
Every agent you add shares one stack
These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.
- Triggered by key events or signalslike Zapier
- Given access to contextlike Zep
- Connected to your appslike Composio
- Access to all LLMslike OpenRouter
- Performance evaluatedlike Braintrust
- No-code agent builderlike Dust.tt
- Coordinated into teamslike CrewAI
- Kept alive through long-running worklike Temporal
- Traced at every step of every runlike Langfuse
Put the Bug Report Triager to work this quarter
We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.