The article writes itself from resolved tickets
The Knowledge Base Writer spots the questions your team answers again and again, then drafts or updates the help-center article that stops them coming back.
Twelve tickets this month ask how to bulk-export data, and the help center has nothing on it. Worth an article if the answer is stable.
The resolution is the same each time: the export lives under Settings, not the Reports tab where everyone looks first.
How it works
Triggered by ticket volume
As tickets resolve in Zendesk and Intercom, the agent clusters the recurring ones and picks up any theme with no article, or a stale one, behind it.
Grounds every step in real fixes
It writes only from resolutions that actually worked, decides whether to update an existing article or write a new one, and will not invent a step it cannot trace to a ticket.
Files a draft for review
The article lands in Notion or Google Docs with its source tickets linked, ready for a human to approve before it reaches the help center.
Without Relevance
With Relevance
Nobody notices the same question is answered fifty times until a quarterly review.
The agent clusters recurring tickets as they resolve and surfaces the ones with no article behind them.
Docs get written once at launch, then quietly rot as the product changes.
The agent drafts from the resolutions that actually worked this month, so the article matches the current product.
An article gets written from one memory of how the fix goes, right or not.
Every step is grounded in resolved tickets, and the agent will not write a step it cannot trace to a real resolution.
Only the topics someone volunteers to document ever get an article.
Every recurring cluster is caught, from the top ten questions to the long tail nobody has time for.
Article quality swings with whoever found a spare afternoon to write it.
The same structure, tone and grounding on every article, whoever the tickets came through.
Thin topics get padded into vague articles that help no one.
When there are too few real resolutions to write accurately, the agent flags the gap instead of publishing filler.
Held to a quality bar, on every run
Every draft is checked against eval test cases written for this exact job before it reaches the help center. If a run fails the bar, it never ships.
Sampling 2% of live runs · 96% passing this week
Shaped by your team, not a template
Experts and engineers tune Knowledge Base Writer 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.
Build 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.
Build 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
Ticket Resolver
Resolves routine tickets, escalates the rest.
- 1Reproduced the issue
- 2Checked open issues
Filed · clean repro
Bug Report Triager
Reproduces reports and files clean engineering bugs.
SLA Watchdog
Reprioritizes the queue before an SLA breaks.
CSAT 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 Knowledge Base Writer 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.


