Your support knowledge base, kept current without your team writing it.
EkLine reads your tickets, drafts the articles your knowledge base is missing, and corrects the ones that went stale. When your product changes, the update is drafted without waiting for a ticket. Your team approves.
15 minutes to set up. 15 insights into your knowledge base, and 15 days to improve.
Works alongside your help desk and help center. No migration. Nothing publishes without your review.
Gap review — real run, anonymised
The product's own columns and row order, three rows, at least one Update. Gap labels in the customers' own words, checked against the scrub patterns. Caption carries “three drafts per run”. Also the OG image.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
Built from the tickets your team already answers.
The question that keeps arriving is the page that does not exist yet.
EkLine reads the tickets your team closes, checks each question against your knowledge base, and drafts the article that is missing. When the article exists but the answer has moved on, it drafts the correction from the reply your team just wrote and checks it against your product.
One question, end to end — real run, anonymised
One question the whole way, four moments at equal weight: three closed ticket subjects, the gap row with its evidence, the drafted article, and the approved state. Hairlines instead of arrows, so nothing reads as automation without review.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
The correction case
A real published article that went stale, the reply that exposed it, and the corrected passage as a draft. Anonymised. Deliberately smaller than the lifecycle artifact.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
What each question becomes
- Missing: a new article
- Outdated or incomplete: a correction
- Already covered: nothing, and the report says so
- Billing, feature requests, and spam: left off the list
Support hears about the change before the tickets do.
Your help desk can suggest an article when tickets pile up. It cannot see your product change. EkLine watches what engineering ships, works out which articles it touches, and drafts the update with the same engine that keeps your public docs current.
The change, and the article it produced — real run
Two panels at equal width, one hairline between them, no arrow: what engineering shipped as the product summarises it (summary only, no diff and no code), and the knowledge base draft with Update KB unpressed. Captioned with the scheduled review's own name.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
Where it watches
- GitHub
- GitLab
- Jira
- Linear
- Your public docs
Written for support, in your company's words.
A support article is not an engineering doc, and EkLine writes it the way your team would: the symptom, the fix, the steps, and nothing internal on the help center. It uses the terms marketing settled on, so your team, your support bot, and your website describe a feature the same way. When marketing changes a term, the articles follow, as drafts your team approves.
The closing reply, and the article drafted from it — real ticket, scrubbed
A reply carrying one internal detail, marked in the left panel, that the draft left out — so “nothing internal on the help center” has a picture. The configured-input chips sit inside the artifact at 13px: terminology, tone, brand voice, company profile.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
What it drafts
- Help center articles
- Troubleshooting guides from Slack threads
- FAQ entries
- Procedures for your internal knowledge base
Every answer gets better when the knowledge base does.
Your support bot, your team, and your customers' own AI tools all answer from what you publish. Fix the article once, and every answer that reads it improves. Your next hire reads the procedure instead of interrupting the person who knows it.
A later run — the question from section B, now covered
The “Already covered” table, not the product's empty-run message: the question from section B verbatim, the article that answers it named, and the covered state. This is the page's proof artifact.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
25% to 80%
Answer accuracy for one support team's bot, before and after EkLine fixed the knowledge base it reads from.
Customer name pending written permission — the card is removed rather than attributed without it.
Who answers from it
- Your support bot
- Your team
- Your customers' AI tools
- Your next hire
Your customers ask their AI first. Let it answer from your docs.
Hand your customers the Docs MCP Server and their AI tools answer from your public docs, inside Cursor, Claude, ChatGPT, or Copilot. The answer comes from the page your team approved, not from whatever the model remembers about you. Setup questions get answered by the tool the developer is already working in.
- Cursor
- Claude
- ChatGPT
- Copilot
Works with MCP-compatible AI tools.
A real question, asked in the customer's own tool
An editor or chat-tool crop in the tool's own chrome, answered from EkLine's documentation through the Docs MCP Server, with “From your docs” legible. No chat bubbles, no bot avatar, no EkLine assistant surface.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
Your knowledge base stays where it is.
Brief it once on tone and terminology. Every draft follows, and nothing publishes until your team says so.
- Approved articles publish to Pylon, Confluence, Zendesk, and Notion, where your team already works
- You choose which knowledge bases EkLine reads and writes
- Ticket text scrubbed of personal data before analysis
- Drafts carry no customer names, account details, or ticket IDs
- Approve, edit, or send it back; Update KB writes it back to your knowledge base
- Ticket access is optional; it can start from product changes and the articles you already have
- Your tickets stay in your tenant. No training on your data. SOC 2 compliant
KB management — settings, organization
Real selected knowledge bases with names as configured, and the default author. No invented space names or author names.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
The editor — View All Changes open
A real diff, as the reviewer reads it first, with Update KB visible. Nothing in the crop shows a publish without a reviewer in it.
Placeholder. Nothing in this frame is invented — the real artifact replaces it before publish.
On the record.
“We try every AI tool that comes along. Most don’t last a week. EkLine is one of the few that actually stuck. Easy to onboard, and it just keeps delivering value.”
The same engine serves two more teams.
Engineers and writers: docs that stay true with every release.
Build fasterMarketing: the content that gets you found before the first call.
Get foundSee the gap list built from your own tickets.
Book a demo15 minutes to set up. 15 insights into your knowledge base, and 15 days to improve. If you do not see the value, you walk away with 15 better articles.