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Knowra Enterprise AI Product Trailer
Introducing Knowra, an enterprise document intelligence project designed to make business knowledge easier to access and use. Knowra explores how AI, LLMs, and RAG can help teams search complex document collections, retrieve relevant information, and get context-aware answers. This trailer introduces the product vision and its approach to AI-powered document intelligence.
The specific focus on context aware answers highlights a major shift from simple keyword search. It directly addresses the common issue where teams get technically correct but practically useless results from basic RAG implementations.
Exactly! That's one of the key challenges with RAG, retrieving technically relevant information isn't enough if the final answer lacks the right context. Retrieval quality, context selection, and grounding all matter.
Curious, what approaches have you found most effective for improving context quality in real-world RAG systems?
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Two concepts. Two different first impressions.
Exploring two visual directions for a finance and AI platform.
Option A | Fundely
Warm gradients, soft curves, and a clean layout. Designed to make finance feel simple, approachable, and easy to trust.
Option B | Proxyma
Bold typography, a structured grid, and a striking 3D visual. Designed to make AI feel confident, modern, and forward-thinking.
Both share the same goal: create a strong first impression through design.
But which direction communicates better?
A or B? I'd love to hear your perspective.
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Shopify Abandoned Cart Recovery Automation 🛒
Ever wondered how many potential orders an online store could miss when customers add products to their cart but leave without completing checkout?
I built an abandoned cart automation workflow using Activepieces, Shopify, Google Gemini, Gmail, and WhatsApp Business.
⚙️ How It Works
🛒 Cart Trigger: Detects an abandoned checkout event from Shopify.
🔀 Conditional Routing: Routes the workflow based on configured conditions.
🤖 AI-Powered Messaging: Gemini generates a personalized reminder message.
💬 WhatsApp Reminder: Sends a cart reminder through WhatsApp Business.
📧 Email Reminder: Sends a follow-up email to encourage the customer to complete checkout.
💡 How It Can Help E-commerce Businesses
Remind customers about products left in their carts.
Reduce repetitive manual follow-up work.
Make customer communication more consistent.
Create an opportunity to recover potentially lost sales.
Tools Used: Activepieces | Shopify | Google Gemini | Gmail | WhatsApp Business
Project Type: Personal Automation Project
I built this workflow to demonstrate how automation can support abandoned cart recovery for Shopify and D2C businesses.
Interested in automating your store's customer follow-ups? Let's connect.
The 30–60 minute delay then 24-hour follow-up is a sensible cadence. The part I would harden next is the stop conditions: once the cart converts or the customer replies, every channel should cancel, and WhatsApp especially needs a clear opt-in trail before the first send....
Clients often start with the same request: "Let's build an AI agent."
My counter-question is always: which manual process actually costs you time, errors, or money right now?
My selection rule: remove it first. If it can't be removed, simplify it. If it's still needed, automate it with a plain script. Only then add an integration or an agent. Often the best result is the process that no longer exists.
Safe automation means real scenarios, error handling, and alerts. Without alerts, a workflow can silently lose data for weeks. I always define what stays with a human and what goes to the system.
Question for you: which process would you automate first, and why is it still manual?
Service for audit and implementation: https://contra.com/s/BmWLbgFU-ai-automation-from-your-dream-to-working-implementation?r=auto_booster
