Great out of the box. Yours with a few clicks.
The assistant is accurate from day one. When you want it sharper for your product, your team rates its answers and coaches it in plain language, right in the dashboard. No prompts to engineer, no tickets to file, no developers in the loop.
Good AI still needs your judgment.
Out of the box, the assistant already knows your product and answers most things well. But every product has edge cases, a term you use differently, a workflow with a gotcha, an answer you'd phrase your own way. Getting those right is the difference between good and trusted.
On most tools, fixing them means a prompt-engineering ticket and a wait on a developer. The people who actually know the right answer, your support and product teams, can't touch it. So it drifts, or it never improves at all.
Rate it, coach it, and it gets better.
Rate any answer
Thumbs up or down on real conversations, right in the dashboard. The assistant learns which answers landed and which missed.
Coach it, don't rewrite it.
Not by rewriting answers, that would be a full-time job. You give it a note the way you would a sharp teammate, like going gentler on billing or always mentioning the export limit, and next time it carries that into every related question, not just the one you flagged.
Improves over time
Every rating and note compounds. The agent gets sharper for your product as your team coaches it, and never needs a line of code to do it.
Rate it from Slack, without switching tools.
Connect Slack and every customer question flows into a channel, along with what the assistant answered. Anyone on the team can mark a reply helpful or not and leave a note right in the thread. It feeds back into Frigade instantly, the same as dashboard feedback, so the people closest to your customers improve the agent without a Frigade login or a new workflow to adopt.
See the Slack integrationNew question from a user:
The people closest to the customer, in control.
Support, success, and product teams tune the assistant directly, the same people who already know the right answer. Engineering stays out of the loop, and quality stops being a backlog item.
Part of how the assistant stays sharp.
Feedback works alongside the training that keeps the assistant current, and the insights that show you what to fix first.