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Inbox Triage

La tua casella, già letta: urgenti segnalati, risposte in bozza, tu devi solo premere invio

Trasforma la tua IA in un assistente di triage della posta — classifica le email per urgenza e intento, recupera il contesto di ordini e clienti, redige risposte con la tua voce e tiene tutto in attesa della tua approvazione con un clic. Niente parte da solo.

Anteprima di Inbox Triage
Ideale per
Founder, team di supporto, chiunque stia annegando nella posta
Tempo necessario
Configurazione ~30 min, poi ogni giorno
Livello
Adatto ai principianti

Installala in 3 passaggi

Nessuna registrazione. Nessuno strumento da riga di comando. Scegli la tua AI, copia una riga e incollala.

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Prove dal mondo reale

Persone vere hanno svolto proprio questo lavoro con agenti IA.

Cosa contiene

Un file SKILL.md (la guida operativa) + un modello di partenza. Un'anteprima:

Inbox Triage

When to use

  • You wake up to 50+ unread emails and need the urgent ones surfaced before your coffee cools
  • You run customer support and every reply needs order details looked up before it's written
  • You're a founder whose inbox is three accounts stitched together and nothing gets answered twice
  • You want drafted replies in your tone, but you refuse to let AI send anything without your approval
  • Invoice emails, refund requests, and angry customers all land in the same pile and need different handling

Workflow

  1. Connect the inbox (input: your email access → output: live mail feed)
    Set up the feed first: Gmail/Outlook triggers, or a scheduled fetch every 15–30 minutes. One inbox or three — the triage logic doesn't care, but tell it which addresses are yours so it never drafts a reply to itself. Decide the batch rhythm: real-time for support, twice-daily digest for personal.
  2. Classify before reading (input: raw emails → output: urgency × intent labels)
    Every email gets two labels. Urgency: now (customer blocked, money moving, boss asking), today (needs a reply, nothing burning), later (FYI, newsletters, can wait). Intent: question, complaint, request, invoice/billing, spam/noise. Write your classification rules down once — "anything with 'urgent' from a paying customer = now", "receipts auto-file, never surface" — the skill follows them literally.
  3. Gather context (input: labeled email → output: enriched brief)
    For anything labeled "now" or "today", look up what the sender is talking about before drafting: order status, previous thread, account tier, attached invoices. A reply drafted without context is worse than no reply — it invents. If the lookup comes back empty, the draft says so instead of guessing.
  4. Draft in your voice (input: enriched brief → output: reply draft)
    Draft against your tone guide: short or thorough, formal or blunt, sign-off style. Match the customer's language. Every draft includes the facts it used (order #123, policy §4) so you can verify in one glance. Hard or angry cases get flagged for escalation, not drafted — some emails need a human from the first word.
  5. Hold for approval (input: drafts → output: approval queue)
    Nothing sends itself. You get a queue: each item shows the original email, the labels, the draft, and one-click approve / edit / skip. This is the load-bearing wall of the whole skill — the 36 real-world cases this was distilled from all converge here: approve outbound, always.
  6. Learn the patterns (input: your approvals → output: tighter rules)
    After a week, review what you kept editing. "You always soften the refund refusals" becomes a tone rule. "You always escalate anything mentioning lawyers" becomes a classification rule. The skill gets sharper the longer it watches you.

Anteprima del modello

Inbox Triage — Approval Queue Template

Copy this format for each triage batch. One screen per batch; approve / edit / skip each item.

Triage summary — {date} {batch: morning/evening}

Item 1/3 — 🔴 NOW / complaint

From: {name} <{email}> — {customer tier, e.g. Pro plan since 2024} Subject: {subject} Labels: now × complaint Context: Order #{n} — {one-line fact, e.g. delivered 3 days late}; {prior thread summary if any} Draft: > {reply draft, ≤150 words, cites facts, ends with next step}

[ ] Approve & send [ ] Edit first [ ] Skip [ ] Escalate to me

Item 2/3 — 🟡 TODAY / question

From: {name} <{email}> Subject: {subject}

Il pacchetto della skill (SKILL.md + modello) è scritto in inglese.

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