This is too large to quote responsibly as one block without reviewing the requirements document, but I can propose a small paid proof slice first.
I would start with Workflow 1 only: AI-powered incoming email classification for Gmail into the five categories you listed, with a clear n8n flow structure, prompt/schema design, sample routing logic, error handling, and documentation. That should let you judge quality before committing to the full 6-workflow package.
Suggested small trial: USD $100-$150 fixed for the classification workflow design/prototype, depending on whether you want just the workflow spec or a working n8n draft. After that, I would quote the remaining workflows separately rather than bundling unknown scope.
Relevant fit: Gmail/Sheets/Slack workflow design, LLM classification with structured outputs, business-process mapping, and clear SOP-style handoff documentation.
If you are still looking, please send the requirements doc for Workflow 1 and I can return a fixed quote and delivery plan.
Hi! I’m a web developer (PHP/JS/React, WordPress/WooCommerce) moving into automation work. I’ve built n8n + Claude API orchestration for a personal AI agent project, including a context-injection system that feeds the agent only the relevant info at each step to keep its responses consistent — useful if you need an agent that handles state carefully. I’m comfortable with APIs, webhooks, and conditional logic, and happy to start with a small paid task to show fit before scoping anything bigger.
This maps cleanly to a phased build instead of a risky all-at-once automation.
I would start with a USD 500 paid proof slice:
Gmail → LLM classification into the five categories with schema-valid JSON
Google Sheets tracking with Message-ID dedupe, reference numbers, and status timestamps
Slack urgent escalation with explicit error and fallback paths
After that I would price the remaining workflows as a fixed package: hotel update forwarding, daily dashboard/digest, first-contact auto-reply with loop protection, and booking API integration once the REST details are confirmed. My rough range for all six after requirements review would be USD 900-1,500, depending mainly on booking API depth and whether Sheets remains the source of truth.
Relevant proof I can share: lead-routing and booking/notification demos with event logs, fallback handling, tests, and handoff notes. I usually build these with retries, idempotency, audit rows, and clear maintenance docs so the client is not left with a black-box workflow.
Quick questions:
Is the self-hosted n8n instance already installed?
Which LLM provider do you prefer for DE/EN/FR classification?
Should the first proof use only Gmail/Sheets/Slack and leave the booking API for phase 2?
Hi, this is a good fit for a small workflow milestone.
I would break it into a maintainable flow:
Gmail input
classify email intent/status
extract key fields
write/update Google Sheets
send Slack alert or daily digest
add failure/missing-field handling
I have a related Lead Intake Agent sample that turns messy inquiries into structured cards with missing fields, priority, and next follow-up questions:
For the first milestone, I would suggest implementing only email classification + Google Sheets status table first, then adding Slack/digest after the output is confirmed.
Hey, this is a clean scope — six well-defined workflows with a requirements doc already in place is exactly how I like to come into a build project.
I’m Basit, n8n specialist with 50+ workflows shipped. Relevant to this specifically — I’ve built Gmail API integrations, Google Sheets tracking pipelines, Slack notification workflows, and LLM classification flows. I also built the Claude Pro node for n8n natively so the AI classification layer across DE/EN/FR is straightforward for me. You can see my published nodes at basitq.cloud/nodes
On your open questions
Google Sheets vs proper DB — for 50 clients and the status tracking volume you’re describing Sheets is fine to start, especially since your client is already comfortable with it. I’d structure it cleanly enough that migrating to Postgres later is not painful if volume grows. No need to overcomplicate phase one.
LLM choice — Claude is my preference for multilingual classification, handles German well and the structured output is more reliable for categorization tasks than GPT in my experience. Happy to use whatever you’re contracted with though.
Per-workflow pricing — I can give you a structured breakdown per workflow plus a package total once I’ve seen the requirements doc. I’d rather quote accurately off the actual spec than throw a number out now that I’d have to walk back later.
I work US timezones, English communication is fine throughout, and documentation is standard on everything I hand off — not an afterthought.
This is a pattern I build regularly and I can have your workflow running fast.
The structure: Gmail trigger node → LLM classification node (Claude API primary, Grok or OpenAI if your stack calls for it) with structured output enforcement → Switch node routing by label → Google Sheets node for logging + Slack notification for priority items. The classification layer is where most implementations break down — freeform LLM output upstream of a Switch node is a reliability problem. I use JSON schema constraints on the model response so the label set is fixed and the routing never misfires.
A few things that would let me scope this accurately before I quote time:
What classification categories do you need? Domain-specific labels matter for the prompt design.
Are you on n8n Cloud or self-hosted?
Is Sheets a full log of every email, or only flagged items?
If you want to move fast: I can build a working prototype with placeholder categories in 4–6 hours and we tune the classifier from there.
One additional note: I’m a fluent German speaker (top 5% on the Pennsylvania state German equivalency exam) — if communication in German is easier for your team at any point, that’s available.
this is exactly my core area — I build production-ready n8n workflows with Claude integration, Gmail API, Sheets, and Slack for German-speaking clients.
A concrete reference: I built a fully autonomous WhatsApp AI system (Julia) for a serviced apartment operator that classifies, prioritizes, and routes incoming guest messages via LLM — technically very similar to your email classification use case (Workflows 1 + 3). Multi-category classification with Claude, error handling, loop protection — all covered.
Two suggestions based on your setup:
Supabase instead of Google Sheets for request tracking (Workflow 4) — scales much better with 50+ clients and multiple status stages; Sheets stays as the reporting layer
Claude for DE/EN/FR classification — I’ve used it in production and know the prompt patterns for reliable categorization
I deliver structured proposals with fixed rates per workflow, clean documentation, and no black-box builds.
Would you like to jump on a quick call, or should I put together a proposal directly based on your requirements doc?
I can help if you are still evaluating people for this. I would suggest starting with one fixed-scope paid pilot instead of trying to build all 6 workflows at once.
My proposed pilot: Gmail AI classification + urgent Slack escalation for $199, delivered as a documented n8n workflow with test cases, fallback/error notes, and a handoff doc. If that passes review, the remaining workflows can be priced as separate fixed milestones:
Hotel update forwarding: $120-$180
Request/status tracking into Sheets: $180-$280
Daily reporting + Slack digest: $120-$180
First-contact auto-reply with loop protection: $120-$180
API integration discovery/build: priced after endpoint access is confirmed
I have a small AI lead/email triage demo and can share the logic before starting. I am comfortable with Gmail-style classification, Sheets tracking, Slack alerts, LLM prompt testing, and clean documentation.
I already have a working AI Auto-Responder deployed on n8n 2.32.6 that covers most of your 6-workflow stack. It uses Gmail Trigger → Gemini classification → auto-reply with loop protection → Gmail Send, with 3 successful end-to-end executions already logged.
For your project, I would extend this to:
1. 5-category email classification (invoices, hotel updates, accounts, urgent, booking changes) using Gemini/Claude
2. Hotel update auto-forwarding to sales team
3. Slack escalation for urgent/keyword detection
4. Google Sheets status tracking with unique reference numbers
5. Daily Slack digest with Sheets summary
6. First-contact auto-reply with loop protection (already built)
I can show you the live workflow and execution logs. Fixed-rate per workflow or package. Happy to discuss.
Hi, I’d like to apply for the n8n AI Automation Developer role.
I’m a self-taught n8n developer with hands-on experience building end-to-end automation workflows, including AI integrations (OpenAI/Claude). A few projects I’ve built:
AI Lead Scraper & Enrichment Workflow — scrapes leads, enriches contact/company data, pushes clean records into a CRM/Google Sheet
Gmail Inbox Manager (AI-Powered) — reads incoming emails, classifies/labels them with AI, and triggers the right follow-up action automatically
HR Interview Scheduling Automation — manages candidate applications end-to-end, from intake to automatic interview scheduling and email confirmation
I can record a short Loom walking through one of these live if that’s useful — happy to send it over.
I’m available full-time, remote, and comfortable with async communication across time zones. Payments via Wise work fine on my end.
Resume attached. Would love to discuss the role and how I can help.
I see this may already be moving forward, but wanted to flag my background in case it’s useful for the next phase or a future project.
I recently built a very similar pipeline: automated scraping → AI classification (OpenAI/Groq) → structured tracking in Google Sheets → Slack/Telegram alerting, with status-stage tracking comparable to your Pending→Confirmed flow. Direct experience with Gmail API, Sheets API, and LLM-based multilingual classification logic.
If the current build has any gaps — the Slack escalation logic, the daily reporting dashboard, or documentation/handoff — happy to help there, or to be considered for the next workflow set you mentioned.
I’ve built and deployed a closely related system for a real client — an n8n-based AI assistant integrated with Gmail and Google Sheets, with strict tool-routing logic (6 separate tools, each locked to specific data/fields to keep workflows clean), plus a scheduled workflow that aggregates data and sends structured daily reports automatically — similar in shape to your Daily Reporting and Request Status Tracking workflows.
The scope you’ve outlined — AI-based multilingual classification, keyword-triggered Slack alerts, status-stage tracking, and a self-updating dashboard — maps closely to work I’ve already shipped, just at smaller scale. I’m confident building all 6 workflows as an integrated system.
A few things that would help me put together an accurate fixed-rate proposal:
Approximate email volume/day for the classification workflow
Any existing documentation for the proprietary booking API
Whether n8n needs to be self-hosted from day one, or if that’s a later migration
Happy to share my GitHub and a live demo, and to hop on a short call to align on scope before sending a structured quote.