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Meeting Preparation Briefs Workflow
This intelligent workflow acts as your personal AI sales assistant. It monitors your calendar for upcoming meetings and automatically prepares you by researching the prospect's company. 15 minutes before any external meeting, it identifies the target company, scrapes the latest news from Google, synthesizes a briefing using advanced AI (OpenAI), and delivers a beautifully formatted HTML report directly to your inbox. This ensures you never walk into a meeting unprepared.
Core Capabilities
Smart Filtering: Detects external meetings starting soon; ignores internal chats.
Live Research: Scrapes the last 7 days of Google News for the prospect.
AI Insight: Synthesizes noise into 3 key updates and 1 icebreaker.
Brief Delivery: Emails a polished HTML summary 15 minutes before your call.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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For Sienna Rhodes, I designed the homepage around one idea: the portfolio should come first.
Photography clients usually want to know one thing before they read about your process, your packages, or even who you are: Do I connect with your work?
So instead of opening with a traditional introduction, the homepage leads directly into the portfolio and lets the imagery make the first impression. The supporting copy and details come later, once the work has already created that initial connection.
I’m curious where other designers and photographers land on this. Do you prefer a portfolio-first homepage, or do you think the photographer’s story should come first?
Portfolio first, every time for photography. Nobody hires off a process paragraph, they hire because one image stopped them scrolling. The story matters, but it lands harder after the work has already made the case. That start here slider does the pitch by itself.
AI Assistant Using Your Business Knowledge Base — RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine
Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing
Source references — every answer shows which document and section it came from
Runs on your infrastructure — documents never leave your control
One command to re-index after updating documents — documented, no programmer needed
LIVE DEMO
Ask it about my products, pricing, deployment and support — it answers from 6 real documents with sources:
https://kb-assistant-demo.dvc-ai.workers.dev
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.
Obviously automated