Edikan Peters

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

As one year comes to an end and a new one begins, I find myself pausing to reflect. If you had the chance to say something to your future self to the version of you in 2025 and 2026, what would it be?

Looking back, I want to thank myself for how much I pushed through this past year:

• For finding a job I genuinely value, even after going through a long period of stress and fear of unemployment

• For speaking up and sharing my own perspectives at work

• For choosing action over just talking

• For walking away from toxic and unnecessary work relationships

• For daring to learn new things outside my original field of study

• For letting go of some comforts and entertainment to focus more on my health

Product Hunt is obsessed with "Fast" today. How fast can it generate a website? How fast can it write a SQL query?

But ask any founder or senior engineer: What is the most expensive thing in software? It isn't writing code. It's fixing code.

We realized the industry is optimizing for the wrong metric. Current AI tools (Chatbots) are like hyper-active interns. They type at 1,000 words per minute, but they make mistakes that take days to debug. They prioritize Output over Outcome.

We built Dropstone to be the "Adult in the Room."