Mirgent's design defaults to human-in-the-loop. AI drafts, AI ranks, AI suggests, but every public-facing action (post, comment, follow, lead reply) routes through your approval queue first. Auto-mode is opt-in, never default.
Six features that make hard-gated approval feel fast instead of friction.
Posts, lead replies, agent outputs, follows, every approval-required action lands in one queue. No context-switching between feature surfaces.
Highest-confidence items surface first. AI scoring determines order so you triage 30 leads in 5 minutes by approving the top-5 and skipping the rest.
Every draft is editable in-place. Tweak the draft to match your voice, click Approve, posts within 60 seconds. No copy-paste between tools.
Select multiple drafts, click Approve All. Useful when AI quality is consistently good, Sunday-morning batch reviewer pattern.
Opt individual goals into auto-mode (e.g. 'auto-post Content Planner drafts that score 90+'). Auto-mode flags in the audit log so you can review later.
Reject any draft with a structured reason. Rejection patterns feed back into AI scoring, the system learns what you don't want.
The flow is identical regardless of action type, posts, comments, lead replies, follows all go through the same queue.
Lead Hunter finds a high-intent thread; Content Planner drafts a Twitter post; RSS connector formats a blog item. All AI-generated outputs land in the queue with provenance: which agent, which trigger, which input.
Open Mirgent's Approval Queue (or get a daily digest email). Drafts surface with: AI confidence score, target platform, suggested timing, and the original context that triggered them.
One-click approve ships immediately. Edit-then-approve to revise. Reject with structured reason (off-brand, factual error, low intent) so AI learns. Skip to revisit later.
Approved actions log to the audit trail (who approved, when, edits made, AI provenance) and dispatch to the target platform. Failures retry automatically.
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Default-on for all of these, with per-feature opt-out where it makes sense.
Always queued by default. Auto-mode opt-in per workflow with score threshold (e.g. 'auto-post drafts scoring 90+').
Always queued. No auto-mode option, reply quality varies enough that human review is mandatory.
Rule-based: 'like posts matching tag X' can auto-execute (low-risk). Reply-style engagement always queues for review.
Bulk follow-from-page actions queue first batch (5-10 follows) for review; subsequent batches auto-execute under the daily-cap rules you set.
No queue (read-only by nature). Outputs ship directly: weekly digest emails, dashboard cards, etc.
Always queued. DMs are highest-stakes; never auto-mode regardless of plan.
Single-approver, multi-stage, agency-tiered, all configurable.
Open queue with morning coffee. 10-15 drafts: scan, approve, edit, skip. Daily routine takes 5 minutes once you're calibrated.
Editor reviews drafts first (quick pass). Senior strategist approves final. Two-stage gate prevents brand-voice drift while distributing the work.
Each client workspace has its own queue. Account managers approve their assigned clients; nothing leaks cross-client. Per-client AI keys mean costs allocate cleanly.
If you're at a regulated org or just want a defensible paper trail, the audit log is comprehensive.
Counterintuitively, no. Most users find that approving 30 AI-drafted items in 10 minutes is faster than writing 3 from scratch in the same time. The queue's smart sorting puts high-confidence items first, so you approve-approve-approve through the meaningful 80%.
Per-action yes (auto-mode opt-in). System-wide no, Mirgent's commitment to human-supervised AI is structural, not just a default. The most you can do is auto-approve everything that scores above a threshold, but the audit log still tracks every action.
Mirgent retries failed posts 3 times with exponential backoff. After 3 retries the job is marked failed with the platform's exact error visible in the queue. You retry manually or skip.
Per-feature: lead-quality scoring (Lead Hunter), draft-quality scoring (Content Planner), engagement-prediction scoring (Analytics-aware drafting). Each model trains on your approval/rejection feedback over time.
Yes via roles. Editor can approve drafts under a $value threshold; Publisher can approve everything; Owner has override. Useful for agencies and B2B teams that don't want one bottleneck approver.
DMs are always queued, regardless of plan or auto-mode settings. Highest-stakes content; we don't ship a foot-gun option.
Free plan ships the full approval queue. Connect 1 platform, see how 5-min daily review feels different from 'set and forget' tooling.