Document 360 Direct-answer paragraph
Document360 is a documentation platform — a place to author, version, and publish help-center articles, with AI features added on top. Brainfish is an AI-native knowledge layer that reads from Document360 (and other sources) and powers customer-facing AI agents, in-product help, and Claude MCP. Document360 owns the authoring surface; Brainfish owns the AI answer surface. The two aren't really substitutes — most teams keep Document360 for writing and add Brainfish for accuracy and in-product help. The question isn't "which one," it's "where does authoring end and AI begin."
At a glance
TL;DR for buyers
Document360 = structured documentation platform for help-center authoring with AI-assisted features. Brainfish = AI-native knowledge layer that powers AI agents and grounds them in cross-source truth. Document360 was built for documentarians; Brainfish was built for AI. Most teams keep Document360 for authoring and add Brainfish for AI accuracy and in-product help. Kloud Connect saved 300+ hours/month on exactly this pattern.
Choose Document360 if authoring UX is your number-one priority, your knowledge lives entirely in Document360, and you don't have AI-agent ambitions in the next year.
Choose Brainfish if AI accuracy is the priority, your knowledge spans Document360 plus other sources, and you need in-product AI help — not just a hosted help center.
Use both if you like Document360's authoring and want a reliable AI answer layer on top. Brainfish reads from Document360 via API, syncs continuously, and serves AI agents grounded in the same content. No migration.
The core difference: an authoring tool vs. an AI answer layer
It's tempting to line these two up feature-for-feature, but that frames the decision wrong. Document360 and Brainfish solve adjacent problems, and the cleanest way to see it is to ask what each one's unit of work is.
Document360's unit of work is the article. It's a genuinely good place to write, structure, version, and publish documentation — categories and subcategories, editorial workflows, review reminders, multilingual variants, a hosted help-center site. If your job is producing and maintaining a well-organized doc corpus, that's the surface you live in, and Document360 is built for it.
Brainfish's unit of work is the answer. It doesn't try to be where your team writes. It reads from where your team already writes — Document360 included — and turns that content into accurate, grounded answers delivered wherever your customers and agents need them: in-product, in a help center, in chat, in Slack, and through Claude via MCP. When two sources disagree, it flags the conflict so you can fix the source of truth. When a doc changes, the answer changes with it.
That's the real distinction behind "AI-native vs. AI-assisted." Document360's AI features — the Eddy assistant, AI search — were added to a documentation product that already existed. The architecture is "docs first, AI bolted on." Brainfish was architected from day one as a knowledge layer for AI agents, where retrieval observability, cross-source sync, conflict detection, and MCP exposure are the core, not later additions. As the industry has learned the hard way, your AI support is only as good as the knowledge layer behind it — and that layer is the part a documentation tool was never designed to own.
Feature comparison matrix
Knowledge and AI
In-product and self-service
Integration and extensibility
What Document360 does well (and where it fits)
Document360 is a strong product at the thing it was built for, and it's worth saying so plainly.
- Authoring experience. A clean, structured editor with categories, workflows, and review states — built for people who write documentation for a living.
- Versioning and lifecycle. Real version control, draft/review/publish flows, and content health reminders that documentation teams actually need.
- Multilingual and hosted help center. Localized docs and a polished, hosted help-center site out of the box.
- AI-assisted writing and search. The Eddy assistant and AI search add useful help on top of the authoring workflow.
If your primary need is producing and maintaining authored documentation — and your knowledge genuinely lives in one place — Document360 is a credible, focused choice. Brainfish doesn't compete with that; it sits on top of it.
Where an AI-assisted docs tool hits its limits
The friction shows up the moment AI accuracy — not authoring — becomes the priority. These aren't knocks on Document360 as a writing tool; they're the structural limits of "docs first, AI bolted on":
- Single-source by design. AI answers can only draw on Document360 articles. The moment your real knowledge also lives in Confluence, Notion, Drive, Guru, or your ticket history, an answer grounded only in the help center is missing context.
- No cross-source conflict detection. If two articles — or an article and a Confluence page — disagree, there's no mechanism to surface it. The AI will confidently answer from whichever it retrieved.
- Freshness gaps. Where AI accuracy depends on docs that change weekly, scheduled imports and manual publishing leave a window where the answer is stale. This is the help-doc debt problem: most knowledge bases drift out of date faster than a team can keep up.
- Degradation at scale. Naive AI search degrades as the corpus grows — more articles, more near-duplicates, more retrieval errors. AI-native systems are built for that load; bolted-on search wasn't.
- Limited delivery surfaces. A hosted help center answers people who come looking. It can't answer them in-product, at the moment of friction, before they think to search.
The through-line: Document360 owns authoring beautifully, but the AI answer surface — accuracy, freshness, cross-source grounding, in-product delivery — is a different job with a different architecture. More on why in knowledge infrastructure for AI agents.
How Brainfish reads from Document360
The reason this isn't a rip-and-replace decision is that Brainfish doesn't ask you to leave Document360. It reads from it.
Brainfish connects to Document360 via API and syncs continuously, so your published articles flow into Brainfish's retrieval layer without a migration project. It does the same for your other sources — Confluence, Notion, Drive, Guru, internal docs, ticket history — and unifies them into a single grounded answer layer. At query time, Brainfish retrieves the right evidence across all of them, composes an answer, shows what it retrieved, and flags conflicts between sources. When your writers publish an update in Document360, the answer updates too.
So the division of labor is clean: Document360 stays the place your team writes; Brainfish becomes the place those words turn into accurate answers — in-product, in chat, in Slack, in your help center, and through Claude via MCP.
Pricing: how to think about it
Treat this less as "which subscription is cheaper" and more as "what am I paying each tool to do." Document360 is priced as a documentation platform — seats and tiers scaled to authoring needs, with AI features layered into higher plans. Brainfish is priced as an AI answer layer.
Because most teams run both, the useful question is incremental: if you already pay for Document360 (or will, because you need the authoring UX), what does adding an AI-native answer layer return? The case is usually made on accuracy and reclaimed time, not on replacing a tool. The maintenance and pipeline work that keeps a bolted-on AI search useful is real but invisible — the hidden cost of RAG maintenance that quietly consumes a team's sprint. Kloud Connect's 300+ hours/month saved is the shape of the return when an AI-native layer takes that work off the team's plate.
Running Document360 and Brainfish together
This is the most common pattern, and it's deliberately low-friction:
- Keep authoring in Document360. Your writers don't change anything. Categories, workflows, versioning, multilingual — all stay.
- Connect Brainfish via API. Point Brainfish at Document360 and your other sources. Continuous sync, no content migration.
- Let Brainfish ground and surface conflicts. It builds the retrieval layer and flags stale or contradictory content — cleanup you'd want regardless.
- Deploy AI where customers get stuck. Turn on the in-product widget and chat agent, and expose Brainfish MCP for Claude and other AI clients.
You end up with the best of both: Document360's authoring, Brainfish's answers.
When to choose each
Choose Brainfish when:
- Your AI accuracy is the priority and authoring is secondary.
- Your knowledge lives in Document360 plus Confluence, Notion, or other sources.
- You need in-product AI help, not just a hosted help center.
- You're running (or about to run) AI agents that need cross-source grounding.
- You want MCP access for Claude and other AI clients.
Choose Document360 when:
- You're a docs-first team and authoring UX is the #1 priority.
- Your knowledge lives entirely in Document360 and won't span sources.
- You don't have AI-agent ambitions in the next 12 months.
Use both when:
- You like Document360's authoring and want a reliable AI answer layer on top. Brainfish reads from Document360 via API, syncs continuously, and serves AI agents grounded in the same content. Document360 stays where your team writes.
The bottom line
Document360 is an excellent documentation platform with AI features added on. Brainfish is an AI-native knowledge layer built for accuracy. They're adjacent, not interchangeable — and the smartest teams treat them that way: author in Document360, answer with Brainfish. If your AI accuracy depends on docs that change weekly, span multiple sources, and need to reach customers in-product, that gap isn't an authoring problem. It's an answer-layer problem, and the answer layer is what Brainfish was built to be.
Your AI support is only as good as the knowledge behind it. Document360 helps you write it. Brainfish keeps it true.