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Built a fully automated Gmail workflow using Zapier, ChatGPT, Python, Slack, and Google Sheets that analyzes incoming emails, generates summaries, assigns priorities, and recommends actions automatically.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I designed and deployed a custom AI Agent built to handle real operational workloads — not just chat responses. This system combines reasoning, memory, and tool‑use to execute tasks autonomously, reduce manual overhead, and deliver consistent, high‑quality outputs.
What it does:
Processes inputs and makes decisions without supervision
Runs multi‑step workflows with logic and error‑handling
Integrates with APIs, databases, and internal tools
Summarizes, routes, and evaluates information
Operates asynchronously and scales with workload
Why it matters:
This agent replaces repetitive manual tasks, increases operational clarity, and creates a reliable automation layer that founders can trust. It’s built with security, auditability, and real‑world constraints in mind.
Tech used:
LLMs, embeddings, secure tool‑use, workflow orchestration, async operations, and custom logic modules.
Outcome:
A stable, autonomous system that reduces cognitive load, accelerates execution, and frees teams to focus on higher‑value work.
This is the future and most people still aren't paying attention.
Everyone is talking about AI but very few are actually building with it at this level reasoning, memory, tool-use, real workflows. Not a chatbot. Not a gimmick.
A system that actually WORKS while you sleep.
...
Different industries operate differently.
But operational chaos usually starts the same way:
disconnected workflows,
limited visibility,
manual coordination,
and too many systems managing isolated parts of the same process.
From professional services and education to enterprise operations and SaaS infrastructure, we’ve been exploring how connected systems can simplify execution across industries.
-KALNET
The following summaries outline the technical architecture and business logic of the two automation engines.
1. The Inquiry & Triage Processor
This workflow serves as a centralized ingestion hub for incoming business requests.
Ingestion: The system triggers via Webhook or a Gmail polling mechanism to capture new leads and tasks.
De-duplication: It utilizes a custom JavaScript node to generate a deterministic "fingerprint" based on the task data, ensuring no duplicate records are created in the database.
AI Analysis: An integrated AI Agent analyzes the request text to automatically assign a priority level, functional category, and recommended next action.
State Management: The engine logs the entry into Google Sheets and updates the record status from "In Progress" to "Processed" upon successful triage.
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