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Back to blog homeGorgias Ticketing System Explained (The Complete Overview)
How the Gorgias ticketing system works: one ticket object across email, chat, social and SMS, the open/closed/snoozed lifecycle, merging and auto-reopen, plus where the native mode
Front Shared Inboxes & Team Inboxes Explained
How Front structures inboxes: individual vs shared vs team inboxes, who can access them, how membership and teammate groups work, assignment scope, and collision avoidance — plus t
Self-Hosted vs SaaS AI Support Agents (2026): Which Should You Choose?
Self-hosted (open-source) AI support agents vs SaaS agents compared on data control, cost, setup, model quality, and scaling — plus when each one actually makes sense. An honest, r
Freshdesk SLA Policies & Business Hours Explained
How Freshdesk SLA policies and business hours actually work — response and resolution targets, priority tiers, first-matching-policy logic, reminders, and escalations — plus where
Gorgias Snooze & Ticket Statuses Explained
How Gorgias' open/snoozed/closed lifecycle works: snooze-until presets and reopen rules, what closing really does, and how status drives your SLA report and stats.
Front Assignment Explained (Assign, Round-Robin & Load Balancing)
How assignment works in Front: manual assign, assigning by comment, auto-assignment rules, round-robin vs load-balancing distribution, and how assignment drives SLA and analytics.
Per-Action vs Per-Resolution AI Pricing: Which Is Right for You? (2026)
An honest AI support pricing comparison: per-resolution (Fin $0.99, Zendesk ~$1.50–2, Gorgias ~$0.90–1) vs per-conversation vs per-action/credits. Worked cost scenarios, the trade-
The Freshdesk Customer Portal Explained (2026): Self-Service, Setup & AI
What the Freshdesk customer portal is and how it works in 2026: the self-service knowledge base, ticket submission and tracking, community, Marina themes and CSS customization, pla
Digital Agents & Digital Workers, Explained (2026)
Digital agents (a.k.a. digital workers) are AI software that performs work like a human team member — not just a chatbot or an RPA bot. Here's a plain-English definition, where the
Gorgias Views Explained (Shared, Personal & Smart Views)
How Gorgias Views work: build filtered views, the difference between Shared and Private scope, exact filters and limits, a decision table, and where the native feature stops.
Front Snooze & Reminders Explained
How Front's snooze and reminders work: snooze-until, the three ways to snooze, Send & Snooze vs Send & Archive, how snoozed conversations re-surface, and the follow-up workflow.
Macha vs Intercom Fin (2026): AI Layer vs Built-In Agent
An honest 2026 head-to-head: Macha (a dedicated AI agent layer for Zendesk + Freshdesk, billed per AI action) vs Intercom Fin (built into Intercom, billed ~$0.99 per resolution). C
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