Jace AI Alternatives for Gmail Rules and Auto-Labelling

The best Jace AI alternatives for Gmail rules in August 2026 are AI Emaily, Shortwave, Fyxer, Cora, Inbox Zero, Serif, Superhuman Mail, and SaneBox. Jace itself is an overlay that connects to Gmail through OAuth, applies AI Labels to incoming mail, and lets you set Smart Rules in plain English ("always CC my manager when we finalize contracts"). The reason anyone shopping for an alternative asks is narrower than the vendor pitch: what happens when one of those rules is wrong, and can you tell what fired.

The short pick: AI Emaily is the strongest all-around alternative if you want plain-English rules that turn into filing you can inspect, an approval step before anything sends, undo on autonomous actions, and an audit log that names the rule and the message. Inbox Zero is the sharper pick if the rules being human-readable code (rather than prose an LLM re-interprets each time) matters more than convenience. Gmail's own filters plus Gemini is the pick if you already trust Google's filter engine and just want AI drafting inside the compose window.

The axis this page is scored on — the one a generic feature grid hides — is **what happens when a rule misfires, and what evidence you have afterwards.** A tool that quietly labels an important thread as `Promotions` and never tells you it did is worse than a tool that files it correctly nine times out of ten but shows you the tenth. That is a different question from "which tool has the most rules" and it is the question that decides whether you keep using the thing after week two.

We build AI Emaily. That is why it appears first in the table and gets the most space below — this is our site, and the recommendation is on our terms. Where a competitor is genuinely stronger on a rules-and-undo dimension, we say so by name; that is how the rest of the page earns being read.

How we compared#

Every capability below was checked against the vendor's own live site in August 2026. Pricing is described only as packaging shape — free tier, time-boxed trial, per-seat, usage-metered — because exact figures move and printing a competitor's price only makes this page wrong later. Verify the current number on the vendor page before you plan around it.

For reference, Jace itself, as of an August 2026 check on jace.ai: an AI executive-assistant overlay that connects to Gmail (and other providers) through OAuth, ships AI Labels for auto-categorization, Smart Rules you write in plain English, and drafting in your style. The vendor page does not describe an undo control or a per-action audit log, and packaging is a 7-day free trial followed by paid tiers. The eight alternatives below are measured against those specific capabilities, not against Jace's marketing.

The dimensions the shortlist is ranked on:

• Rule format — do you write plain-English rules the tool interprets, structured rules you configure in a form, or code you can read line by line?
• Where the label ends up — a Gmail label the whole account inherits, or a tag that lives only inside the tool's UI?
• What happens when a rule is wrong — can you undo the action, retrain the rule on the miss, or is your only recourse to move the message back by hand?
• Audit trail — is there a per-action log that names the rule, the message, and the time, or does the tool act invisibly?
• Send behaviour — does the tool draft only, draft-and-wait-for-approval, or send on its own once a category is trusted?
• Packaging shape — free tier, time-boxed trial, per-seat, or usage-metered.

Jace AI alternatives for Gmail rules at a glance#

AI Emaily#

AI Emaily is a full email client — not a browser overlay or a Chrome extension — that connects to Gmail through Google's standard OAuth flow and writes drafts and labels back into the Gmail account, so anything it does is visible in the Gmail web and mobile apps too. We build AI Emaily.

The rules model is what makes it a real alternative to Jace rather than a lookalike. Plain-English rules go into a Rules + Context Brain — one sentence, stored in a settings pane you can open, edit, or delete. The rule that fired on any thread is named in the audit log (/docs/audit-log), so a wrong rule is a fix, not a retrain.

The autonomy model is the part Jace's page doesn't describe. Three modes — Manual, Copilot (drafts and file actions wait for approval), Autopilot (gated categories, undo, audit log). If a category files something wrong overnight, open the log, undo, edit the rule.

Beyond Gmail, AI Emaily connects Outlook and IMAP (iCloud, Fastmail, Yahoo, Zoho, GMX) into one inbox, same rules across all of them. Drafts come from a user-set Personal Context brain, not a model trained on your sent mail — we don't train on user mail at all.

On desktop: an Apple Silicon macOS build (Electron shell, ships new features same-day as web) and a Windows installer. iOS is native; Android is a PWA with a native app on the roadmap; no Linux build.

Packaging is a 7-day free trial (card required, $0 if cancelled before day 7), then usage-metered paid plans — see /pricing and /use-cases/rules. The honest limit: if you want a lightweight overlay, AI Emaily is heavier by design — it's a full client.

Shortwave#

Shortwave is a Gmail-native AI client built by ex-Google engineers. Its answer to auto-labelling is AI Bundles: write a prompt ("threads where a customer is asking about pricing") and it groups incoming mail into that bundle in real time. Static Gmail-style filters still exist alongside it.

Bundles live inside Shortwave's own UI; any traditional filter still applies a Gmail label to the account. Retraining a Bundle means editing its prompt — faster if you know what you want, slower if diagnosing one mislabel.

As of early August 2026, Shortwave publishes per-seat tiers with a time-boxed trial; verify the current number. No per-action audit log documented — its identity is AI search over your archive, not agent automation with undo.

If Gmail archive search is the wall you keep hitting, Shortwave has built harder on that dimension than we have — the honest concession on this page.

Fyxer#

Fyxer is the closest structural match to Jace on this list: an overlay on Gmail (and Outlook) that connects through OAuth, categorises incoming mail into a fixed taxonomy (To Reply, FYI, Meetings, Newsletters, Promotions, and a few more), and drafts replies in your voice. It does not replace the Gmail interface — the categories land as Gmail labels on the account, so your phone's Gmail app inherits them without needing Fyxer installed on the phone.

The rule format is structured rather than prose. You tune what each category means by moving mistaken threads into the correct category, and Fyxer learns the pattern; you do not write a plain-English rule the way you would in Jace. That is a plainer mental model than a natural-language rule engine but a less expressive one — a Jace user who has written twenty specific rules is not going to find twenty knobs to turn in Fyxer.

Fyxer stays firmly on the drafting side of the line: drafts wait in Gmail for you to review and send rather than sending on their own. There is no separate agent action log described on the vendor page — corrections happen by re-categorising, which retrains the classifier but does not give you a named history to look back at. Packaging is per-seat with a time-boxed trial; verify current pricing on fyxer.com before signing up.

Cora#

Cora is the digest-first alternative. Instead of running continuously and firing rules in real time, it screens your Gmail through the day and hands you a summary twice — morning and afternoon — with drafts written in your voice for anything that needs a reply. Built by Every, the team behind Spiral and Sparkle, and offered both standalone and bundled with the wider Every apps.

Provider support today is Gmail and Google Workspace only, per the vendor FAQ — Outlook and other providers are not supported yet. Verify the current provider list on cora.computer before signing up. Training happens by thumb-up or thumb-down on individual senders and drafts inside the brief; there is no plain-English rule field the way Jace has, and no separate action audit log — the twice-daily brief itself is the record of what Cora decided.

The concession worth naming: if what you actually want is a single, polished, twice-daily brief that lets you avoid opening Gmail at all between checks, Cora's format is more refined for that exact narrow job than AI Emaily's is. We are built for continuous triage with an approval layer, which is a heavier tool when a pure digest is genuinely all you wanted.

Inbox Zero#

Inbox Zero is the open-source option — the code is on GitHub and you can self-host the whole stack on your own infrastructure. That matters for the specific reader on this page because the rules themselves are human-readable and stored in a format you can read, edit, and version. A rule that misfires is a rule you can open, diff against yesterday's version, and fix in place.

It covers Gmail and Outlook, with rule-based triage, labelling, a cold-email blocker, bulk unsubscribing, and briefs. Labels are written back to Gmail so the account sees them, and rules can escalate from draft-only to auto-reply on categories you have explicitly approved. If you self-host, git history is your audit trail; if you use the hosted version, the app's own logs are the record.

This is the honest concession on the rules-transparency dimension: if the thing you cannot stand about a Jace-style tool is that a rule you wrote in prose gets re-interpreted by an LLM every time it fires — and you would rather write the rule once, as code, and have it run the same way each time — Inbox Zero is the sharper pick. Ours are prose the model interprets against context; theirs are code you can read. Code is easier to audit.

The tradeoff is operational. Self-hosting means you own the uptime, the patching, the OAuth verification if you go beyond a small number of users, and the model bill. If those tradeoffs sound like features, that is your signal.

Serif#

Serif positions on autonomy: you review its work for a while, then hand off categories one at a time until it is running large parts of your inbox on its own. That is the closest philosophical match to Jace among the paid tools on this list — both are pitched as an AI that eventually acts unattended, not just an AI that drafts.

The rule format is category-based rather than plain-English: you enable Serif on a category (invoices, meeting scheduling, newsletters), Serif learns from your review, and the on/off switch is per category rather than per rule. There is no plain-English rule field of the kind Jace ships. A detailed per-action audit log is not documented on serif.ai — the primary control surface is the category toggle.

Verified on serif.ai in August 2026, packaging is five tiers — Lite, Standard, Pro, Team, Enterprise. Lite, Standard, and Pro are flat monthly plans; Team is per-user; Enterprise is "Custom." Every tier has a 7-day full-access trial. Standard is described as "5x usage of Lite" and Pro as "20x usage of Lite," but the page does not define what one unit of usage is — the price is published and the unit is not. Verify on the vendor page before planning around it.

If aggressive autonomous action inside Gmail with the minimum possible per-message review is what you actually want, Serif is designed for that reader and AI Emaily is not — our default is drafts wait for approval, and Autopilot is gated per category with the audit log.

Superhuman Mail#

Grammarly acquired Superhuman — the email client — in July 2025, and renamed the parent company to Superhuman in October 2025. The name now covers two things: Superhuman Mail, the client described here; and the Superhuman Suite, a bundle that adds Grammarly and other apps on top. Older content that treats Superhuman as an independent startup predates the rename — check which product page you are reading before comparing.

Superhuman Mail's answer to auto-labelling is Auto Labels, which apply Gmail labels to incoming mail using AI. Because those labels are written back to Gmail through the account's own label system, they sync everywhere Gmail syncs — the mobile Gmail app, the web, any other client. Traditional Gmail filters still work in parallel and are honoured on top of the AI labels.

The tool is optimised for keyboard-speed triage rather than agent-style automation. There is an Undo Send window for messages, but no per-label undo control or agent action log of the kind the audit-first tools on this list ship. Nothing on Superhuman sends on its own — it is a drafting and triage tool. Packaging is per-seat; verify the current tier structure on superhuman.com, and confirm you are on the Mail page rather than the Suite page.

SaneBox#

SaneBox is the oldest tool on this list and the one that answers the Jace pitch from the opposite direction. It connects to Gmail either through OAuth or through IMAP with a Google app password, and runs server-side filtering: it sorts low-priority mail into folders like `@SaneLater` and `@SaneNews`, sends a daily digest email listing what it moved, and never drafts a reply.

The training model is one-shot and behavioural: you drag a message from `@SaneLater` back to your inbox, and SaneBox learns that sender belongs in the inbox from then on. `SaneBlackHole` permanently silences a sender in one click, which is a blunter but faster tool than most AI-drafted filtering rules. The daily digest is your audit trail — it lists every message that moved, so nothing is filed invisibly.

Packaging is tiered by the number of accounts you connect and how many features the tier unlocks, rather than by seat count. Because it runs on IMAP under the hood, SaneBox is one of the few tools on this page that also works on non-Gmail accounts if you connect them later.

If Jace's plain-English rules pitch is actually the part that made you uneasy — you wanted the filtering, not the interpretation — SaneBox is the honest match for that preference. It is not AI-native in the way the newer tools here are: no Context Brain equivalent, no drafts, no autonomy modes, just years of refinement on the filter-and-digest model.

How to choose for your Gmail rules situation#

Start with the question Jace's own page does not answer clearly: what happens when one of these rules is wrong. If "I need to see which rule fired and undo the action" is the honest answer, you are looking at AI Emaily (audit log names the rule and the message, undo on autonomous actions) or Inbox Zero (rules are readable code you can inspect line by line). If "I can just move it back" is fine, any of the classifier-first tools — Fyxer, Cora, Superhuman Mail, SaneBox — will do the job.

Then ask where the label needs to live. If your team also opens Gmail directly, or if the account has a Google Workspace admin who might switch tools later, pick a tool that writes a Gmail label back to the account (AI Emaily, Fyxer, Inbox Zero, Superhuman Mail, SaneBox via IMAP folder). Shortwave splits — Bundles are Shortwave's, filters are Gmail's — and Cora files inside its brief. That is not automatically wrong, but it is a lock-in you should notice going in.

Then ask how much the tool should do on its own. If the answer is "a lot, once I trust it," Serif is designed for that reader and AI Emaily with Autopilot on a gated category is the audited alternative. If "drafts prepared, but I hit send myself" is the answer, Copilot on AI Emaily and Fyxer's drafts-in-Gmail model are the two honest picks — same job, different architecture. If "never sends, never drafts, just files" is the answer, SaneBox is the right shape and no AI-first tool on this list is a fair comparison.

The reader AI Emaily is genuinely built for is someone whose Gmail is the primary account but not the only one — plus an Outlook, plus an iCloud or Fastmail on IMAP — who wants the same rules and audit log across every mailbox, an explicit approval before anything sends, and undo on anything an agent did while they were asleep. That is the scoping worth being upfront about, not a claim that we are the right fit for every Jace-shopping reader on this page.

How the shortlist ranks on rules and audit#

The image below shows the shortlist ordered by how much visibility each tool gives you into rules and actions — from a full audit-log-and-undo model at the top, through readable-code rules, structured classifier tools, and finally the digest-only and filter-only options at the far end for readers who wanted less automation, not more.