TextCortex

TextCortex Agent autonomously breaks down complex requests and executes them to deliver comprehensive results. Watch our video to learn how to switch your AI to autopilot. Currently available for premium and enterprise users 🎉 youtu.be/gsFRAlA-fLw?si…

Enter Reverse Prompting 🔄 Train the AI with something that already exists and ask it to reverse-engineer the instructions. It’s the ultimate shortcut to getting high-quality, consistent results. Here is a step-by-step breakdown 👇

Sometimes you will ask a complex question to an AI tool and get an answer that sounds true but is totally wrong. The easiest way to obtain better results it to use Chain of Thought: we put together some practical advice on how you can include it within your daily prompts 👇

This strategy kept people engaged across the whole campaign and turned our community into actual advocates who helped us hit the top rankings!

💡 Melissa's Pro Tip: be extremely specific with what you ask your Agent to create. For our last launch we had it build early access teasers, benefit-focused announcements, personalized variations for different customer segments and even Product Hunt launch day rallying emails

Most product launch emails are deleted without ever being opened. Melissa from our growth team redefined the way we handle product launch announcements and it worked: we landed 4th Product of the Day on Product Hunt! Apply her strategy:

I Burn $250K in AI Tokens Per Year. Here's Why Our Code Quality Skyrocketed @TextCortex

The gap between Zero-Shot (giving a command with no examples) and Few-Shot (providing a mini-training set) prompting makes the difference between generic results and precise outputs. We collected some guidance within the infographic below 👇

Did you try our workflow automation product yet? You can set Flows to run automatically or on a recurring schedule! It can autonomously run in the background, executing your tasks and taking action without requiring you to guide each step ⚡

How is your team currently structuring prompts?

A one-sentence prompt often leads to generic results because the AI is forced to guess your intent. That’s where the SPEC framework comes in: it’s a simple way to move away from winging it and start treating prompts like professional briefs instead 👇

💡 Pro Tip: once you have your list, save these leads into a dedicated Knowledge Base within TextCortex. This way, when you’re ready to write your outreach emails, your Agent will already have the full context of who your leads are and what they do!

3. Refine and review. Once you are happy with the result, you will have a curated list, ready for your CRM or outreach tool

The manual copy-paste dance of building a lead list is arguably the biggest time-sink in sales. Chuck from our sales team recently showed us how he uses our Web Search feature to get his research done in minutes. Here is exactly how he does it:

Your first prompt is usually just the start of the conversation: just like you’d do with a talented teammate, you have to chat, provide feedback and refine ideas with your AI Agent. Check out the infographic below to discover a few ways to polish your prompts!

💡 Pro Tip: you can ask TextCortex to format the summary into a "TL;DR" note for anyone who couldn't make the call. It's a massive time-saver for the whole team!

3. Finally, he asks to combine everything into a single, organized draft

We've all been there: a great 45-minute sync ends and suddenly you’re staring at a blank page trying to remember who owned that last action item. Umut from our sales team has a pretty slick way of skipping that post-meeting brain fog using TextCortex. It looks like this: