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Fast teams need speed, but speed without quality creates risk.
Every time a new feature is added or a bug is fixed, there is a chance something else breaks. That is where automation testing helps.
Automation is useful for repeatable flows like login, signup, forms, checkout, dashboard actions, search, filters, and regression checks.
I work with Selenium and Cypress to help teams cover important flows and reduce repeated testing effort.
But automation should not be added randomly. The right approach is to first understand the product, identify the most important user journeys, and then automate the flows that bring real value.
Good automation does not replace QA thinking. It supports it.
Free consultation or quick QA overview available.
#AutomationTesting #Selenium #Cypress #RegressionTesting #QAEngineer #SoftwareTesting #ReleaseTesting
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Where do you think AI agents can make the biggest impact in a real business? 🤖
I'm exploring AI agents and automation through projects with n8n, Python, RAG and APIs.
I'm curious to hear from other builders and founders:
What would you automate first if you could remove one repetitive task from your business?
Lead management? Customer support? Internal operations? Something else?
Would love to hear your ideas 👇
#AIAgents #AIAutomation #n8n #AI #Automation
I saw how linking n8n to a CRM can pull new leads straight into a queue, wiping out the copy paste step.
Building AI automation that actually saves time. ⚡
Lately I've been working with AI agents, n8n, Python, APIs and RAG to turn repetitive business tasks into automated workflows.
From lead qualification and document processing to AI assistants and notifications — the goal is simple:
Less manual work. More intelligent workflows. 🤖
Currently building and experimenting with new automation projects. 🚀
#AIAutomation #AIAgents #n8n #RAG #Python
Turning lead qualification into an AI driven flow really cuts the back and forth of data entry. Automating document parsing with RAG makes the handoff to downstream steps feel instant.
What if every new lead could be handled before you even open your inbox? ⚡
This AI-powered workflow turns a new email inquiry into a structured, ready-to-handle lead — automatically.
A new inquiry arrives → AI extracts the important details → Airtable/CRM is updated → the response goes through optional human approval → a personalized email is sent → Notion is updated → the team gets notified in Slack → performance data is collected for reporting.
The goal isn't to remove people from the process. It's to remove the repetitive work around them.
This type of workflow can be customized for B2B companies, SaaS businesses, agencies, real estate, e-commerce, recruitment, consulting, customer support, healthcare, finance, education, and other service businesses.
Already know what you want to automate? → Send me your current workflow and I’ll map out how we can automate it.
Still doing repetitive work manually? → Tell me the task that consumes your team’s time, and I’ll help identify what can be automated.
#AIAutomation #AIWorkflow #AIWorkflows #AIAgents #Automation #WorkflowAutomation #BusinessAutomation #ProcessAutomation #n8n #n8nAutomation #ArtificialIntelligence #GenerativeAI #B2B #B2BAutomation #SaaS #SaaSAutomation #SalesAutomation #LeadGeneration #LeadAutomation #LeadManagement #EmailAutomation #CRMAutomation #CustomerSupport #CustomerServiceAutomation #MarketingAutomation #AgencyAutomation #RealEstateAutomation #EcommerceAutomation #RecruitmentAutomation #HRautomation #FinTech #HealthcareAutomation #EdTech #BusinessGrowth #BusinessEfficiency #DigitalTransformation #NoCode #LowCode #OpenAI #AIAgent #CRM #Airtable #Notion #Slack #Productivity #FutureOfWork
I'd use the human approval step to capture corrections, not just a yes/no decision. If a reviewer changes the extracted lead details, does the workflow update Airtable and the reporting record before sending the email?