Support Drafter
Customer support email arrives → Claude reads it, picks the tone, drafts the reply. A human reviews and approves. Stop staring at the blank reply screen.
Built across the leading AI labs — Anthropic, Google, OpenAI — picking the right model for each step.
- Claude Agent SDK
- AgentMail
- FastAPI
- SQLite
- Knowledge base (optional)
Click Run to see the result.
gets a draft ready in the review queue — not just the easy ones
from message landing to a personalized draft, tone-matched to the customer
nothing leaves your domain without a person clicking Approve
Two things change. First, the time-to-first-response drops to roughly however long it takes a human to read a draft and click Approve — usually under a minute. The backlog you used to face at the start of the day is already half-replied by the time you sit down. Second, and more importantly: the floor on reply quality rises. The empathetic-sounding response to an angry customer no longer depends on the reviewer having coffee in them — Claude wrote the first draft warmly, and the reviewer's job is to keep that tone rather than start it. Customer-facing tone becomes consistent across the team. This is not a tool you license. It is built around your knowledge base, your voice, your stack. Same toolbox we use every time; different shape for every business.
How it works
Reads every inbound support email
Customer messages land via AgentMail (or your existing inbox) and immediately flow into the pipeline. No more triage queue, no more "I will reply after this meeting" — every message starts a draft within seconds.
Drafts a tone-matched reply against your knowledge base
Claude reads the message, picks the right tone (apologetic when they are frustrated, informational when they have a question, friendly when they are praising you), and pulls from your KB to give the right answer — not a generic platitude. The draft streams in real-time onto the review queue.
Human reviews, edits if needed, hits Approve
Drafts appear side-by-side with the original message in a minimal review queue. Approve and the reply goes out as a threaded response. Edit first if a customer-specific detail needs a touch-up. You stay in control of the words; the AI just removes the blank-page friction.
Why this automation
Customer support is one of those tasks where the blank page is half the work. A clear, well-toned reply isn't hard to write once you've started — it's hard to start on the twentieth email of the day. So backlogs build, replies get terse, and the angriest customers wait longest because their emails are the most draining to face cold.
This is not a story about replying faster. It is a story about removing the blank-page tax so every customer gets the considered reply they would have gotten if you'd had unlimited mental energy at 9am.
See it in action
Three customer emails arrive — angry, question, praise — and three tone-matched drafts populate the queue within seconds. The human reviewer approves the first one with a click; it sends as a threaded reply.
The transformation
Before
Support emails pile up in a shared inbox. The easy ones get quick replies; the harder ones sit overnight while someone summons the energy to write the response. Customers wait. Tone is inconsistent — whoever happens to grab the email sets the register.
After
Every email gets a draft within seconds of arrival, in a tone matched to the customer. The reviewer is editing, not writing — the work goes from "compose a reply from scratch" to "approve or tweak." Backlog collapses; tone becomes consistently warm.
Where this goes from here
Swap the endpoint
- This demo drafts via AgentMail and sends as a threaded reply — yours could draft into Gmail, Front, Help Scout, Zendesk, or whatever inbox tool your team actually opens. The drafting step is the value; the destination follows your workflow.
- Knowledge base here is a directory of plain-text help articles. Yours can point at Notion, Intercom KB, Confluence, your product docs, or a vector store of prior tickets — the drafter consults whatever shape your help content lives in.
Expand the scope
- Today it drafts a single reply per incoming email. Same pipeline can route by topic first (refunds → billing template, shipping → ops template), draft from multiple personas (customer-facing vs. account-manager), or auto-attach the relevant KB excerpt to every draft for the reviewer to verify.
- Once drafts are landing reliably, the same agent can suggest macros for common patterns, flag at-risk customers based on tone, or escalate genuinely angry messages straight to a manager — turning the drafter into a full support-quality layer.
Every ClearSpring automation is the entry point, not the ceiling. The demo is what we'll show; the deployment is what we'll build.
Want something like this for your business?
Every business is different. We start with a short conversation about the workflow you’d most like to stop doing — then build a custom tool around it.