ChatGPT

Site grouping for ChatGPT, OpenAI GPT and reasoning models. Check each case for the exact model and whether it uses the app or API.

Official source ↗ · Source checked 2026-10-23

Check official pricing and availability. Model versions must be checked in each case.

Models, versions and aliases in cases

These labels share this page. Original identifiers are preserved; versions may differ in capability or availability.

gpt-4 · 97gpt-4o · 97gpt-4o-mini · 89gpt-4.1 · 69gpt-4.1-mini · 54ChatGPT · 26

More model versions and aliases (12)

o3 · 7GPT-4o mini · 6gpt-5-mini · 4o3-mini · 3gpt-4-turbo · 2GPT-4o · 2chatgpt · 1gpt-3.5-turbo · 1gpt-4-vision-preview · 1GPT-4.1 · 1gpt-4.1-nano · 1o1-mini · 1

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Tasks covered in this library

248 tag-associated cases; tool roles have not all been reviewed. This is not the product’s full capability range.

Content & Creative · 91Shopping & Errands · 1Research & Knowledge · 4Money, Bills & Benefits · 15Software & DevOps · 18Travel & Bookings · 1Sales, Marketing & Support · 64Life Admin & Home · 8Work & Operations · 45Security, Science & Hardware · 1

Latest case update：2026-10-31

Workflows, prerequisites & evidence

Sales, Marketing & Support

AI-Powered Lead Enrichment via Telegram with Explorium MCP

Input: company name or domain via Telegram → Process: n8n AI Agent calls Explorium MCP and Tavily search → Output: structured JSON lead profile with a 4-email outreach sequence

Read the case’s method and prerequisites

Requires an n8n instance; OpenAI API key (GPT-4o); Explorium MCP credentials; Tavily API key; Telegram Bot Token; PostgreSQL database. Temperature is set to 0.3 for consistent outputs. The template does not state pricing; actual cost depends on API usage.

n8n · telegram · tavily · postgresql

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Work & Operations

n8n Auto-Triage Chat Messages to ServiceNow Incidents, Requests, and AI Agent

Chat input → LLM triage → ServiceNow incident / catalog request / AI agent with search & memory → optional summary

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Prerequisites: accessible n8n instance; ServiceNow instance with an API user that has incident-create rights; OpenAI API key; optional SerpAPI key for web search. Costs depend on API call volume. Known limitations: the HTTP Request node uses the author's demo ServiceNow dev instance URL and a fixed catalog item sys_id; replace these in production. The AI Agent systemMessage says 'creates requests,' which does not fully align with the 'Everything Else' branch handling non-ticket queries; review and adjust for your use case.

n8n

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Work & Operations

n8n AI-Powered Support Automation: Outlook + OpenAI + JIRA Ticketing

Email and Webhook dual-channel input → AI classification with structured parsing → auto-reply or JIRA ticket + notification

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Prerequisites: n8n instance (1.x+ with AI nodes), Microsoft Outlook shared mailbox access, OpenAI API key, JIRA Cloud project (default key SUP), Gmail send permissions. Costs: OpenAI per token; n8n self-hosted or cloud per platform pricing. Note: Route Decision conditions are empty in the template and must be completed using canAutoResolve; Assign Agent emails are placeholders and must be replaced with real addresses.

n8n · gmail

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Work & Operations

n8n Workflow Auto Error Analysis & AI Fix Suggestions

Capture failures with Error Trigger → fetch workflow structure via n8n API → send to AI Agent through OpenRouter for root-cause analysis and fix steps → convert to HTML email and send via Gmail

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Prerequisites: an accessible n8n instance; N8N_EDITOR_BASE_URL environment variable configured; n8n API Key (generated under Settings > API); OpenRouter account and API Key; Google Gmail account (OAuth2 authorization). Cost: OpenRouter pay-per-call; Gmail API has a free tier. Limitations: Error Trigger only fires on automatic/production executions; manual "Execute workflow" clicks do not trigger it. Target workflows must be active.

n8n · gmail

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Work & Operations

Auto-Summarize Podcasts with Wikipedia Enrichment and Email Delivery in n8n

Podcast transcript → AI summary → topic & question extraction → Wikipedia research → HTML email

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Prerequisites: n8n 1.19.4 or later; OpenAI API credential (openAiApi); Gmail OAuth2 credential (gmailOAuth2). Input: podcast transcript text (replace the hardcoded sample in the Podcast Episode Transcript code node). Required materials: n8n instance, network access. Cost: OpenAI API usage billed by token; Gmail sending is free within Google quotas.

n8n · Gmail

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Software & DevOps

Airbnb Telegram Agent: Natural Language & Voice Accommodation Search

Input Telegram message (text or voice) → n8n workflow routes by type → AI Agent queries Airbnb via MCP tools → Output mobile-optimized results (text or voice reply)

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Prerequisites: self-hosted n8n instance (Cloud not supported); install the n8n-nodes-mcp-client community node; prepare three credentials: OpenAI API (Whisper transcription, GPT-4.1 chat, TTS synthesis), Telegram Bot API (create bot via @BotFather and obtain token), and MCP Client API (self-hosted MCP server connected to Airbnb/Airtable data). Also required: update the target chat ID in the Telegram Trigger; modify the system prompt in the Airbnb Agent if needed. Costs depend on OpenAI API usage and self-hosted infrastructure.

n8n · telegram

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Content & Creative

Auto-Triage Project Requests in n8n: Airtable + OpenAI Classification + Approval Routing

Webhook or manual trigger → validate brief → OpenAI classify & risk score → Airtable record → route by score to approval or handoff → optional Slack alert & Gmail weekly digest

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Prerequisites: n8n instance (self-hosted or cloud); Airtable account with Personal Access Token; OpenAI API key; optional Slack and Gmail OAuth2 credentials. Create an Airtable table with the specified 18 fields (Triage_Score as number) and enter your base/table IDs in the Set Request Triage Config, Set Weekly Reporting Config, and Set Approval Config nodes. Slack and Gmail nodes are disabled by default and must be manually enabled.

n8n · airtable · slack · gmail

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Content & Creative

User stories → UI mocks｜Synthesize constraints, then generate on-system directions

Pull feedback from Slack/Linear/docs, produce mocks that respect IA and components, then open a fresh Codex chat.

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Gather stories → lock design-system references → ImageGen 2–3 directions → pick one and start a new Codex thread with the final mock.

ChatGPT · Figma · ImageGen · Codex

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