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We just released a massive UX upgrade for your client-facing workflows called the Info Node. 🚀

Instead of sending a client a separate video explaining how to use the tool, you can now embed the instructions, disclaimers, and context inside the tool itself.

It acts like a built-in "Instruction Manual" that pauses the workflow to ensure your users actually read what they need to know before moving forward. So freaking simple, yet so powerful for client experience!

Just built something cool for course creators last weekend

The problem: students buy courses, consume the content, and then stall when it's time to implement. It's not a knowledge gap it's an execution gap.

The solution: CourseKit.

I asked my infographics agent to explain MindPal in one image

Here's what it came up with

Nano Banana + knowledge sources + reference images for styling = so good

2025 Recap & The Future of MindPal

2025 wasn't just another year. It was the year LLMs grew eyes, ears, and hands.
We went from models that could write a decent email to multi-modal systems that can reason, edit images, see videos, and - most importantly - execute actions.
For us at MindPal, this was the moment we had been waiting for since Day 1.
2 years ago, we started with a vision: that someday, AI would process multi-modal inputs, manage complex context, and use tools just like a human. Back then, the tech wasn't ready. We spent 2024 helping you with "prompt chaining" - squeezing out a slightly better blog post or summarizing a document. It was useful, but it was just assisting.
That era is over.
In 2025, we stopped just chaining prompts and started orchestrating intelligence. We turned MindPal into the multi-agent engine we always envisioned:
- Advanced Patterns: We moved beyond linear chains to Orchestrators, Loops, Evaluators, and Routing.
- MCP Support: Agents can finally talk to your tools - Google Drive, Notion, Dropbox - natively.
- Canvas: Agents aren't stuck in the chat anymore. They are building custom websites, slides, and sales collateral in real-time.
- Chat-to-Build: You don't have to figure out the logic alone. You can now chat back and forth with the AI at the very start to architect, refine, and improve your agents before they ever run.
- Deep Integration: With Custom User IDs and Session Context, your embedded agents aren't isolated. You can sync your own users' data from your system directly into MindPal embeds.
Was every bet a winner? No.
We tried to force computer use and browser use capabilities too early. We realized it wasn't robust enough for the way you work, so we cut the noise and refocused on reliability.
But the things that did work? The results were insane.
We are seeing users automate their entire sales intelligence stacks - from qualification to generating custom proposals. We are seeing agencies automate client deliverables, where their whole operation depends on MindPal to run. We are seeing industry-specific audits that require deep, advanced knowledge and reasoning being executed autonomously.
MindPal doesn't exist to help you save costs. We exist to help you scale your business to a level that wasn't thinkable before, by scaling intelligence.
In 2026, we are taking a fresh take on AI automation.
Too many solutions right now are just "Software 2.0." They are obsessed with connecting App A to App B, with an AI sprinkled in between. It's rigid.
We believe the future belongs to Agency.
We are moving beyond just automating rules one after another. We are building the platform that leverages an agent's ability to think, reason, and wield tools with flexibility. We want you to scale work that was previously impossible, at a scale that was previously unimaginable, not just replicate what you were already doing.
Our goal is to be the number one AI agent orchestration layer for business.
2026 is going to be incredible. LFG

NGL I'm so freaking proud of the thumbnail designer agent I built on MindPal!

This is its latest one-shot creation Nano Banana + thumbnail template references + Gemini 3.0 Pro prompt

I tested out 4 top cloud MCP servers for your AI agents so you don't have to

If you're building or using AI agents, connecting them to the tools they need to actually do stuff is critical. MCP (Model Context Protocol) provides a fast & easy way to enable that.

I've spent weeks testing the main players offering hosted MCP servers: @Zapier MCP , @Make MCP, Composio MCP, and @Apify Actor MCP.

You can now personalize the welcome message of your AI chatbots for every user! 🚀

Thanks to the Custom Session Context feature we released last week...

ICYMI, it's a way for your website to "brief" your AI before it talks to your users - more here: https://youtu.be/kcxQc4xYYYM

Introducing User-Specific Session History for your published AI agents and workflows!

Yesterday, we unlocked the ability for your AI to know who the user is (Custom Session Context). Today, we re adding the missing piece: the ability to save what they did (Session History)!

This means your users can log back in and see their past conversations or previous workflow runs right inside the chat window. No more starting from scratch every time they refresh the page!

17 PH launches later: How MindPal became MindPal

We just hit Product Hunt for the 17th time today. When we first started MindPal in 2023, we never imagined that one day 50k+ expert-based businesses would be using our platform to turn their domain expertise into shareable 24/7 AI agents and multi-agent workflows.

But here we are.

Is MindPal just ChatGPT with extra steps?

We just launched MindPal today on Product Hunt, and as a no-code AI agent builder platform, one of the questions we got asked the most is: Why do I need MindPal when I have ChatGPT + Claude?

Fair question. Except it's comparing a personal assistant to a business multiplication engine.