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$
USD
I will build ai automation and workflow agents with n8n make and zapier
Shah
Level 1
About this gig
I build multi-agent AI systems that run in production, not demos. For ops, marketing, and engineering teams at 50-500 person companies that have outgrown Zapier or plain n8n.
What you get:
- Multi-agent orchestration on n8n with clear handoff logic between agents
- - Persistent memory layer (supermemory or mem0 style) so agents remember context across sessions
- - Slack or Microsoft Teams front-end, plus webhooks, databases, and APIs your team already uses
- - Structured logging, error handling, and a human gate where it matters
Proof: I built this for a global media agency running 4 agents in production - knowledge intake, research and findability, task management, and campaign briefs. Not a prototype.
Stack: n8n (self-hosted or cloud), OpenAI or Claude, supermemory or mem0, Postgres, Slack, Microsoft Teams, NocoDB.
What I won't do:
- WordPress chatbots or single-prompt GPT wrappers
- - One-shot Zapier scripts dressed up as agents
- - $50 scope work - this is production engineering
DM with your use case, data sources, and current stack. I will scope it before you place an order.
Get to know Shah
Shah
I build production grade Voice AI agents LiveKit Twilio Python deployed on AWS
Level 1
- FromPakistan
- Member sinceJul 2022
- Avg. response time1 hour
- Last delivery3 months
Languages
English
I build production-grade Voice AI agents using LiveKit, Twilio, and Python. I’ve implemented real-time inbound/outbound call flows with low-latency streaming, clean turn-taking, and barge-in handling. I improve reliability by tuning VAD, handling jitter/packet loss, and adding retries plus consistent call-state. I containerize and deploy voice agents on AWS so they run stable in production with logging and monitoring.
My Portfolio
FAQ
What is n8n and why use it instead of LangChain or a custom backend?
Open-source workflow platform with an AI agent node, 400+ integrations, and self-hosting. Gives your team a visual orchestration layer they can read and debug, plus custom code nodes where needed. For most multi-agent systems it is faster to build than pure LangChain, and handover is cleaner.
Does this work with Microsoft Teams, or only Slack?
Both. n8n has Teams webhooks and bot integrations. The agent layer is identical - only the front-end adapter changes. If your team is on Teams, the build is the same scope and same price. Premium includes both adapters out of the box.
Do I need my own OpenAI or Anthropic API key?
Yes. You bring the LLM API keys - OpenAI, Anthropic, Azure OpenAI, or a mix. I will recommend which models to use for which agent and give you a projected monthly cost based on expected volume before you order. Your keys, your data, your bill.
How does the memory layer actually work?
Agents read and write to a shared memory layer (Supermemory or mem0) per user or account. This gives retention across calls and sessions - agents remember decisions, past actions, and user preferences. Fully namespaced so data never leaks between tenants.
Do you use Claude, GPT, or both?
Both. I route each agent to the model that fits the job - Claude for long-context reasoning and tool use, GPT-4o/mini for speed and cost, open models for private tasks. Model-agnostic routing means you can swap providers later without rewriting the pipeline.
Self-hosted n8n or n8n Cloud - and do you provide hosting?
Both. n8n Cloud if you want the easy path (no DevOps, managed scaling). Self-hosted on your VPS/Docker/Kubernetes if you need full data control or enterprise compliance. I set up either, and can provide short-term managed hosting as an add-on if needed.
How long does a realistic build take?
Basic: 7 days. Standard: 14 days. Premium: 30 days. Timelines start after you provide credentials, sample data, and sign off on scope. I deliver in phases so you see progress weekly, not a black box for a month.
What happens after delivery?
You get the full source, workflow exports, env templates, and a Loom walkthrough. 14 days of post-delivery support is included for bug fixes. For ongoing support, iteration, or scaling, I offer monthly retainers - usually cheaper than an in-house ML engineer.
Can I migrate from Zapier or Make.com to this?
Yes. I regularly migrate teams off Zapier and Make because both hit walls with branching logic, memory, and LLM steps at scale. The rebuild in n8n + agents usually cuts monthly tool cost by 40-70% and unlocks flows Zapier physically cannot do.
Do you work with enterprise clients?
Yes. I've built for US startups and mid-market companies. I sign NDAs, can work inside your VPC, and will self-host everything on infrastructure you control. For procurement, I invoice via my US LLC with W-9 on file. Book Premium if you need SSO and audit logs.
