Support inboxes fill up with the same question in different forms: product limits, setup confusion, billing questions, feature requests, bug reports, and follow-ups from customers who are waiting for a useful answer. The hard part is not writing words. It is knowing what needs a reply and what the reply should say.
Sharper helps by connecting to your email account and working against your provided knowledge base. It can find the messages that need attention, read the relevant threads, pull context from your docs, and draft replies that are specific to the customer's situation.
Here is the workflow end to end: connect Gmail, ask Sharper to list emails that need replies, and get contextual drafts your team can review and send.
Why this matters: generic AI replies create risk. Grounded replies reduce support time because the first draft already knows the thread, your product facts, and the knowledge base your team trusts.
The setup: Gmail plus your support knowledge
Sharper works best when the inbox is connected to the same knowledge your team uses to answer customers: help docs, product notes, internal policies, release notes, bug workarounds, and customer-facing FAQs. That gives Sharper two forms of context: what the customer asked and what your company knows.
How Sharper works. Two things feed each answer: a connected source and a knowledge base. First, you connect your inbox and build a knowledge base by uploading your support docs, so Sharper has both the customer's thread and your product facts. Then you start a new task and ask - Sharper reads the relevant emails, pulls context from the selected knowledge base, and drafts replies grounded in both.
Step 1 - Connect your email account
The user starts from the Sharper composer and opens integrations. Gmail appears alongside Google Calendar, Google Drive, and Google Search Console. Click Connect, authorize the account, and Sharper can search and read relevant messages when you ask it to.
Connect Gmail from the integrations menu so Sharper can inspect the messages you ask about.
The connection keeps the workflow in one place. The team does not have to copy and paste email threads into a separate chatbot or strip out context before asking for help.
Step 2 - Ask Sharper to triage and draft replies
Once Gmail is connected, the request can be plain English. For example:
The prompt: "List the customer emails from the last two days that need a reply, group them by urgency, and draft a response for each one using our help docs."
Sharper searches recent Gmail messages, filters out newsletters, promotions, and automated notifications, then reads the personal or actionable threads in full. From there it identifies which emails need replies and creates draft responses.
Synthetic LLM-generated replies used to illustrate how Sharper can triage support emails and draft responses.
The screenshot above uses fake LLM-generated replies for billing, bug-report, and support scenarios. It is illustrative, not a real customer inbox export: the point is to show how Sharper can turn support email context into triaged, reviewable draft replies.
Queries to try after connecting a support inbox
Once a support email account is connected, the best prompts are specific about the time window, the support queue, and the action you want Sharper to take. Here are practical queries teams can use immediately:
- "List the customer emails from the last two days that need a reply, group them by urgency, and draft a response for each one using our help docs."
- "Find bug reports in the support inbox from this week, summarize the issue, identify any known workaround from our knowledge base, and draft replies asking for missing diagnostics."
- "Show unanswered emails from paying customers, rank them by risk, and draft concise replies grounded in our product documentation."
- "Find emails about billing, refunds, or plan changes from the past seven days and draft replies based on our billing policy."
- "Identify feature requests in recent support emails, summarize the requested features, note which customers asked, and draft acknowledgment replies."
- "Find threads waiting on our team for more than 24 hours, explain the blocker in each thread, and draft the next response."
- "Review today's support emails and create a handoff summary: urgent bugs, account issues, sales-related questions, and drafts that are ready for review."
Why grounded replies are better than generic replies
A generic email assistant can produce a polite response, but support teams need more than politeness. They need answers that match product reality, include the right workaround, avoid promises the team cannot keep, and reflect the customer's actual thread.
Sharper drafts from the email context and the provided knowledge base. If a customer reports a bug, Sharper can use your known issues, troubleshooting docs, and product notes to draft a reply that acknowledges the issue, asks for the missing diagnostic detail, and points to the right next step. If a customer asks a product question, the draft can pull the relevant facts from your docs instead of guessing.
How this reduces support time
The time savings come from removing the repetitive first pass: scanning the inbox, deciding what matters, opening threads one by one, searching docs, and writing the first response. Sharper does that work in a single request, then leaves the human judgment where it belongs: review, edit, and send.
- Faster triage. Sharper separates actionable customer messages from newsletters and automated notifications.
- Better first drafts. Replies start from the thread and your knowledge base, not a generic support template.
- Less context switching. Teams do not have to bounce between Gmail, docs, issue trackers, and a blank reply box just to get started.
- More consistent answers. Drafts reuse the same trusted source material, which helps reduce drift between team members.
What makes Sharper different
- Connected inbox, not pasted snippets. Sharper can search and read the relevant email threads through the Gmail integration.
- Grounded in your knowledge base. Replies can reference the docs, policies, and product context your team provides.
- Contextual drafts. Sharper considers the thread, the customer's ask, and the surrounding support context before drafting.
- Human review stays in the loop. Sharper creates drafts, so teams can edit and approve before sending.
- Useful beyond support. The same pattern works for customer success, sales follow-ups, operations requests, and founder inboxes.
FAQ
Can Sharper connect to Gmail?
Yes. Users can connect Gmail from the integrations picker, then ask Sharper to search, read, summarize, triage, and draft replies for relevant messages.
How does Sharper decide which emails need replies?
Sharper searches the connected inbox for the requested time window, filters out newsletters and automated messages, reads the actionable threads, and summarizes which messages need a response.
Are the replies generic AI responses?
No. Sharper drafts replies using the email thread plus the user's provided knowledge base, so the response can reflect product facts, support policy, account context, and prior documentation.
Does Sharper send replies automatically?
The workflow shown here drafts replies for review. Teams can inspect, edit, and approve responses before sending, which keeps the human in control.
Who is this useful for?
Support, success, sales, operations, and founder-led teams can use Sharper to reduce inbox triage time while keeping replies accurate and in context.