SaneBox vs Agentys (2026): Email Filtering vs AI Drafting
· Sovattha Sok
SaneBox vs Agentys 2026: an honest comparison of email filtering (SaneBox, $7–$36/mo) vs AI reply drafting (Agentys, $16.99/mo). Which solves your actual bottleneck?
SaneBox is a genuinely excellent inbox filter that has earned a decade of trust. Agentys filters your inbox AND drafts replies in your own voice for you to review, edit, and send. The right choice depends on whether your bottleneck is clutter or composition time.
When SaneBox is the right choice
SaneBox deserves a straightforward recommendation in several scenarios, and skipping that honesty would make this comparison worthless. Price is the first reason. SaneBox Snack costs $7/month. SaneBox Lunch costs $12/month. SaneBox Dinner — the full-featured tier — runs $36/month. At the Snack or Lunch tier you are paying for a proven, battle-tested filtering engine that will likely cut the visual noise in your inbox by 40–60% within the first week. For a freelancer, a student, or anyone who reads email at low volume, that price point is hard to beat. The next reason is client compatibility. Because SaneBox operates entirely server-side over IMAP, it is compatible with any email client, including corporate environments where installing third-party apps is restricted. Agentys requires OAuth access to your inbox and works with Gmail, Outlook, and Microsoft 365. If your organization uses a proprietary mail system or if IT policy prohibits app-level OAuth grants, SaneBox is the practical choice.
A third legitimate reason to choose SaneBox: you want filtering only and you are not comfortable with AI writing in your name. That is a reasonable position. SaneBox never touches your drafts or outbox — it only moves incoming mail. For users who want automation limited to sorting, with every outgoing word remaining their own, SaneBox fits that boundary precisely. Fourth, track record matters to you. SaneBox has processed billions of messages since 2010 and has a community of long-term users who trust it. Agentys is newer. If you prefer a tool with years of public reliability data before committing, SaneBox earns that trust. None of these four reasons are excuses to dismiss Agentys — they are honest conditions under which SaneBox is the genuinely right pick. Any comparison that skips them is selling you something.
The composing bottleneck: where filtering stops and time savings begin
Every email interruption during focused work carries a real cost: it takes most people around 20 minutes to fully refocus on a complex task after being pulled away by a message, and even when you believe you recovered quickly, your error rate and output quality tell a different story. The practical implication is that checking email during a deep-work block is not a brief detour; it is a cognitive reset that can cost the rest of the morning. SaneBox addresses one vector of this problem elegantly: it reduces how many messages arrive in your main inbox, which reduces how often low-value senders interrupt you. If you were previously getting 80 messages a day in your primary inbox and SaneBox routes 50 of them to SaneLater, the interruption load drops substantially. That is real and measurable value. The remaining 30 messages that survive the filter are still there, each requiring a read, a decision, and usually a composed reply — and each one still carries that refocusing penalty when it interrupts you mid-task.
Agentys drafts on demand: when you open a message and ask it to reply, it reads the thread, references your sent history, and produces a draft in your voice ready for you to review, edit, and send. You stay in control of every send. Your session starts not with an inbox to process but with a review queue: scan the draft, adjust a sentence if needed, approve and send. A task that previously took 45–90 minutes of composition collapses into 10–15 minutes of review. Email eats hours of the average knowledge worker's week, so even a 50% reduction in composition time produces several hours of reclaimed work. Agentys users report saving around 1h47 of active composition time daily; across a 20-day working month, that accumulates to roughly 35 hours. SaneBox reduces inbox volume. Agentys reduces composition time. Those are two separate variables, and only one of them scales with the size of your role.
How each tool learns from you
SaneBox's learning is behavioral and sender-centric. It watches whether you open a message, how quickly you reply, whether you drag senders to particular folders — and it builds a sender-importance score from that signal. The model is transparent: you can inspect and correct it by manually moving emails, and the algorithm recalibrates quickly. This is a sound engineering approach for its purpose. Filtering doesn't need to understand the words in a message; it needs to know whether the message matters. SaneBox answers that question accurately. The SaneBlackHole and SaneNoReplies features show how tightly the system is scoped: they act on email as a routing problem, not a content problem. That clarity is a feature, not a limitation.
Agentys learns at the content layer. Before generating any draft, it analyzes a sample of your sent emails to extract style patterns: average sentence length, formality level, vocabulary preferences, typical greeting and sign-off phrases per contact type, and how you handle specific topics like scheduling, project updates, or pricing questions. This per-contact voice model is what separates AI-drafted replies from AI-suggested templates. A template gives you a starting point to edit. A voice-modeled draft gives you something that already sounds like your specific communication with that specific person — the goal is not for you to rewrite it, but to scan it, adjust a detail or two, and approve. The honest limitation: Agentys is not infallible. Novel situations — a complaint you have never received before, a negotiation with no prior thread history — produce drafts that need more editing. The automatic model also means that genuinely urgent messages flagged for immediate human response require you to look at the review queue promptly. These are real trade-offs worth naming before you commit.