2. Introduction: The Need for Human-Taught Automation

Automation has transformed various industries, especially in the way businesses operate and customer interactions are facilitated. With software robots and APIs, businesses are conducted seamlessly with little human effort. Workflow is being handled meticulously and expertly from the back office. Despite the massive advances in APIs, digital automation is still brittle, costly, and somewhat centralized.

So, why is digital automation still brittle? It’s because of its rigid architecture. Traditional automation mechanisms, from robotic process automation to API-driven integrations, are structured by predefined rules that require costly developer overhead to maintain. These systems become obsolete in an era where UI layouts and user behavior are constantly evolving. Imagine spending a significant part of your budget on building and maintaining systems that will only execute tasks half as well as humans do.

In addition, the demand for digital labor is at an all-time high. Startups, enterprises, and business organizations are in dire demand of labor to execute computer-based tasks, such as moving the cursor to fill out CRMs, downloading reports, clicking through dashboards, executing trades, etc. What’s needed is a way to delegate these tasks to agents that comprehend interfaces the way humans do, not in the manner machines are designed to do it.

This is where Omniminds' human-taught AI comes into play. Instead of setting preset codes, what if anyone could train an AI by simply demonstrating a task the way we do it exactly in everyday work? What if we could train these AI agents to click, type, and navigate, just as humans do, and adapt to changes? And then capture these demonstrations and turn them into autonomous agents capable of performing these tasks repeatedly without human intervention? This not only reduces the technical barrier to automation but also gives room for more participation in building intelligent systems to perform tasks the way humans do. Imagine no code, APIs, or integrations.

Omniminds is building a future where every user can potentially train an AI; where crowdsourced demonstrations fuel the learning of thousands of agents; where automation becomes a participatory process, not dictated by a few enterprise developers of SaaS providers. With Omniminds’ model:

• Individuals can train agents to do what they already do.

• Developers can contribute to enhancing agents’ logic

• Companies can deploy agents without writing a single line of code or building.

What results is a more flexible, resilient, and democratized approach to digital automation — one that’s powered by human intuition and scaled by AI.