I help founders and small businesses stop losing time and leads to manual work.

What I build:

→ AI automation: AI that reads every new lead, scores it, and routes the hot ones to your team in seconds (n8n, OpenAI, Claude) → GoHighLevel systems: pipelines, SMS and email follow-up, and stage gates, like the one I built for an insurance team so deals can't move without the sold value, policy details and documents → Bubble.io apps: MVPs, SaaS products, marketplaces and internal tools, with Stripe payments, APIs and AI features built in → Workflow pipelines: booking to payment to confirmation with no one touching it, like the n8n and Stripe flow I built for a cross-docking warehouse

The video shows it all in under a minute.

Not sure where to start? Book a free 30-minute automation audit: cal.com/jubril-toheeb-rgh9vp/30min

Impressive work! 👏 Great use of AI and workflow automation to save time, streamline operations, and help businesses convert more leads.

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗪𝗲𝗲𝗸𝗹𝘆: 𝟱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝘀 𝗜'𝗺 𝗪𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗖𝗹𝗼𝘀𝗲𝗹𝘆 The AI industry is moving fast, but the biggest shift isn't just smarter models. It's how we deploy, manage, and scale AI agents in real business environments. Here are the developments from this week that caught my attention: 1️⃣ 𝗚𝗲𝗺𝗶𝗻𝗶 𝟰 𝗔𝗿𝗴𝗼𝗻 : 𝗠𝗼𝗿𝗲 𝗖𝗮𝗽𝗮𝗯𝗹𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 Google's latest model targets complex, multi-step work across coding, research, finance, and other demanding tasks. 🔗 https://lnkd.in/dWr2RZmZ 2️⃣ 𝗩𝗮𝗽𝗶 : 𝗕𝗲𝘁𝘁𝗲𝗿 𝗩𝗼𝗶𝗰𝗲-𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 Vapi introduced traffic splitting across assistant versions, version-specific call logs, and additional phone-call capabilities. 🔗 https://lnkd.in/dvCDcKrw 3️⃣ 𝗘𝗹𝗲𝘃𝗲𝗻𝗟𝗮𝗯𝘀 : 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗻𝗴 𝗔𝗜-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗖𝗮𝗹𝗹𝗲𝗿𝘀 ElevenLabs introduced synthetic-voice detection to help businesses distinguish AI-generated callers from human callers. 🔗 https://lnkd.in/dAdF7pp7 4️⃣ 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗜𝘀 𝗕𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗠𝗼𝗿𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 The focus is shifting from chat interfaces toward agents that can use tools, connect business systems, and complete multi-step workflows. 5️⃣ 𝗔𝗜 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗠𝗮𝘁𝘁𝗲𝗿 𝗠𝗼𝗿𝗲 𝗧𝗵𝗮𝗻 𝗘𝘃𝗲𝗿 As agentic workflows become more capable, inference costs and unintended tool actions become increasingly important.