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Global HR Operations & Talent Acquisition Partner with 5+ years of experience. Specializing in end-to-end recruitment across IT & Non-IT roles, virtual assistance, and payroll operations.
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You probably don’t need more AI tools. You need the right AI stack.
One of the biggest mistakes I see businesses making with AI is collecting tools without building a system around them.
A new AI app appears → we try it.
Another one looks better → we subscribe.
A month later, we have 12 tools, 7 subscriptions… and half of them barely talk to each other. 😅
So I created this simple AI Stack for Small Business in 2026 — organized by what you actually need to get done:
AI assistants.
CRM & sales.
Automation.
Meetings.
Content.
Research.
Outreach.
Reporting.
The goal isn’t to use everything on this list.
Start with 3–5 tools that solve real bottlenecks in your business. Then connect them into workflows.
For many small businesses, a simple stack like:
AI → CRM → Automation → Communication → Reporting
can already eliminate hours of repetitive work every week.
I’m starting a new series of practical AI & Automation Cheat Sheets — no hype, just useful tools, workflows and shortcuts you can actually apply.
Save this one for later.
What should I break down next:
ChatGPT vs Claude vs Gemini or Zapier vs Make vs n8n?
— Vera Babaeva
Marketing Operations · CRM · AI & Automation
#ArtificialIntelligence #AIAutomation #SmallBusiness #MarketingOperations #CRM #BusinessAutomation #AItools
Automated LinkedIn Hiring Signal & AI Outbound Engine
Overview:
Designed and deployed an autonomous outbound lead generation system using n8n. The workflow captures hiring intent signals from LinkedIn, identifies relevant executive buyers, enriches verified contact data, and drafts contextualized sales copy through an integrated LLM.
Tech Stack:
n8n • Apify • SearchLeads API • OpenRouter (Nemotron LLM) • Google Sheets API • Telegram Bot API • JavaScript
Core Deliverables:
Automated Signal Scraping: Continuous monitoring of fresh job posts across target industries.
Granular Data Filtering: Exclusion logic for staffing agencies, company headcounts over 250, and unverified domains.
Multi-Source Enrichment: Automated discovery of decision-makers (C-Level, VP, Director) with validated work emails.
Context-Aware Email Generation: Custom prompting architecture that maps the open role's requirements directly into a tailored value proposition.
Data Synchronization & Alerts: Bi-directional sync with Google Sheets and real-time push alerts via Telegram.
Impact:
Replaces 10+ hours of weekly manual SDR prospecting with a continuous background process that delivers high-intent, enriched leads directly to the sales inbox.
I built an AI voice ordering workflow to help a restaurant capture customer orders and pass them to the kitchen with less manual work.
Using Vapi, I configured a voice assistant with the restaurant’s menu and prices to collect customer details and orders. After each call, a webhook triggers an n8n workflow, where OpenAI extracts the order into structured data. The workflow then notifies the kitchen and logs the order in Google Sheets.
I handled the voice assistant setup, webhook integration, AI prompts, and workflow implementation. The solution reduced manual order entry and made order information easier for the kitchen to access.
Tools: Vapi, n8n, OpenAI, Google Sheets, and webhooks.
Having the assistant feed orders straight into the kitchen cuts the manual handoff. The call transcript in Sheets also gives a clear audit trail.