Paste your most common tickets or product docs and get a clean, searchable FAQ organized by topic, written in plain language, and ranked by how often each question comes up — in minutes. The biggest deflections come first, so the FAQ earns its keep from day one.
The Research Chat Bot is a live Taskade Genesis app you can try right on this page. Ask it a question, see a doc-grounded response, then click "Use this app" to clone and own a version grounded in your own content in about ten seconds. That is the try-then-clone moat: an interactive demo, not a static screenshot.
A great FAQ is the Memory layer of Workspace DNA made public. Memory stores every resolved answer and the docs behind them so the agent never confabulates. Intelligence (15+ frontier models from OpenAI, Anthropic, Google, and open-weight providers) groups recurring questions into coherent topics, writes plain-English answers, and identifies the quick deflections. Execution publishes the FAQ as a searchable app customers can actually use — and keeps it current as new tickets resolve.
The FAQ ships as a Taskade Genesis app with the Relationship field linking each answer to the ticket or doc it came from — so you always know why an answer says what it says, and tracing it back takes one click. Work the FAQ across every layout:
- List view — clean reading layout customers browse top-to-bottom
- Table view — manage all FAQs with topic, frequency, and last-updated columns
- Board view — track draft → reviewed → published status for each answer
- Plus Calendar, Mind Map, Gantt, and Org Chart across all 7 project views
The AI agents inside the app carry 33 built-in tools — persistent memory, web search, file analysis, custom slash commands, and multi-agent collaboration. The embedded FAQ Agent answers customer questions live, grounded in your own content — so visitors get the right answer 24/7 without a ticket.
Automations keep it fresh. Connect to Taskade automations so a closed ticket with a new resolution type automatically suggests a new FAQ entry for review. With 100+ bidirectional integrations, Zendesk, Intercom, and docs platforms pull ticket and article data in while Slack pushes notification of suggested updates out.
Browse live self-service help centers in the Community Gallery, grab a base from the templates library, or learn how to set up a doc-grounded agent in Learn. Pair this with ticket triage prompts so deflected tickets route correctly, and on-brand reply prompts for the ones that get through.
Common questions
How does the FAQ stay accurate as the product changes?
The embedded AI agent monitors your linked docs and past ticket resolutions. When a doc is updated, the agent flags affected FAQ answers for review and drafts the updated text — so stale answers surface automatically rather than being discovered by a confused customer.
Can customers ask follow-up questions the FAQ doesn't cover?
Yes. The embedded chat agent answers from your full doc set, not just the published FAQ. If a question falls outside the content, it routes the customer to a support ticket form automatically — no dead ends.
How long does it take to build the FAQ from a ticket export?
Paste a CSV of closed tickets and the agent produces a draft FAQ in minutes. For most small teams with a few dozen recurring question types, the initial build runs in under ten minutes of total wall time, including review.
