Projects using Airtable in LagosProjects using Airtable in Lagos
Cover image for A client came to me
A client came to me with a problem most people don't even realize they have. Their leads were coming in fast. Facebook ads, website forms, referrals, all funneling into one place. The problem wasn't volume. It was that every single lead got treated exactly the same. A €50,000 opportunity and a €500 inquiry both landed in the same inbox, got the same generic email, and waited in the same queue for someone on the team to notice them. Nobody was ignoring the big leads on purpose. There just wasn't a system built to catch the difference. So I sat down and mapped out what "smart" lead handling should actually look like. Here's what I built: -The moment a lead comes in, a webhook grabs it instantly. No delay, no manual entry. -That lead gets logged into Airtable as a record. Then a second, linked record gets created automatically for deeper tracking, so nothing about that lead's journey gets lost. -The team gets pinged on Slack immediately. No one finds out about a hot lead by checking their inbox three hours later. -Then the system does the smart part: it checks the lead's budget. High-tier leads go down one path. Standard leads go down another. Each path sends its own tailored email and logs into its own tracking sheet, automatically, with zero overlap. The hardest part wasn't connecting the apps. It was making sure two records could be created from one lead without duplicating data. It was getting the routing logic to split correctly, every single time, no exceptions. It was running two parallel branches side by side without them ever crossing wires. That's the difference between "an automation" and a system you can actually trust with your revenue. Now every lead gets exactly the attention it deserves. Automatically. I'm curious: how is your business currently deciding which leads get priority? Manually? A gut feeling? Or does everything just land in one big inbox? Tell me in the comments, I read every single one.
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Cover image for AI Social Media Content Generator
AI Social Media Content Generator & Automation System for Brand Marketing Developed a custom AI-powered social media content automation system for brands looking to streamline content creation, improve posting consistency, and scale audience engagement across multiple social platforms. The client needed a solution that could automate repetitive content marketing tasks while maintaining brand voice consistency and audience relevance. Their team struggled with generating fresh content ideas, writing engaging captions, organizing content calendars, and scheduling posts efficiently across different channels. Using OpenAI, Airtable, Zapier automation, and Buffer scheduling tools, I built a fully automated AI content generation workflow capable of creating personalized social media content tailored to each brand’s niche, target audience, and marketing goals. The AI workflow automatically generated: Social media captions Content ideas AI-generated hashtags Post variations Brand-specific marketing copy Engagement-focused content prompts Scheduled publishing workflows Airtable was used as a centralized content database and editorial management system, while Zapier handled workflow automation between OpenAI, Airtable, and Buffer. Buffer integration enabled automatic scheduling and publishing of AI-generated content across social media platforms. OpenAI API integration powered intelligent content generation using prompt engineering techniques designed to humanize AI content while aligning with each brand’s tone and marketing strategy. Key Features Included: AI content creation workflow Social media automation AI-generated captions and hashtags OpenAI API integration Zapier workflow automation Airtable content management system Buffer post scheduling automation AI marketing assistant Prompt engineering for brand voice AI content editing and optimization AI workflow setup Automated content calendar system AI-powered engagement optimization Social media workflow automation Results Achieved: Reduced content creation time by 80% Increased posting consistency across platforms Improved audience engagement rates Automated repetitive social media management tasks Scaled content production for multiple brands simultaneously This project combined AI automation, generative AI, social media workflow automation, AI content generation, prompt engineering, and marketing automation to help brands produce high-quality content faster while improving operational efficiency and online engagement.
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