Lately, there’s been a surge of interest around systems that don’t just respond to prompts, but actually act: think of autonomous agents that coordinate, reason, and take real steps. That interest is what gives @KITE AI its resonance. In 2025 the shift feels more real: businesses are no longer experimenting with simple chat-bots, they’re exploring networks of agents that can handle workflows, manage data, and even collaborate among themselves. Reports show that the broader “AI agents” market could grow from under $10 billion today to well over $50 billion by 2030.
KITE as a bridge among agents becomes interesting because the challenge today isn’t just building a smart bot, but building many bots that can communicate, coordinate, and operate together. With standalone agents, you risk creating a hall of mirrors: multiple silos doing different tasks, clashing data formats, redundant workflows. A connecting platform like KITE promises to standardize communication, context, and orchestration — much like what’s happening in other parts of software (microservices, APIs, orchestration layers). In effect, KITE could help make automation more than “one-off tools,” turning it into a flexible, scalable architecture.
The timing feels right. In 2025 there’s growing skepticism around attempts to “agentize” every single business task — some argue that the value isn’t in creating more agents, but in creating fewer, more capable, skill-rich agents. Still, if you accept that some tasks lend themselves to modular, specialized agents, then those agents need a nervous system a connective infrastructure to talk, hand off context, and avoid duplication. KITE would serve as that nervous system.
What’s more, as individual agents become more powerful able to reason, plan, call external tools, even interact with other agents — the risk and complexity of orchestration rises. Without a unifying layer, it’s easy for systems to become brittle. I see KITE not as a luxury, but a necessity for automation to mature. It’s the difference between having a handful of isolated bots, and a living organism of agents that can scale and adapt.
From a practical perspective, such connectivity unlocks more than just efficiency. It allows for hybrid workflows where humans and agents collaborate: humans set high-level goals, and KITE directs specialized agents to carry them out, monitor them, aggregate their outputs, and present coherent results. That-by itself reshapes how we think about “work” — less about rigid roles or fixed task lists, more about steering, supervising, and orchestrating.
But of course, there are challenges. Coordination among agents isn’t trivial: agents may have differing “views” of data, inconsistent logic or priorities, or overlapping functionality. Without proper governance, such a system risks chaos. Also, building an ecosystem of interoperable agents demands consensus — on protocols, safety, access control, standards for communication, and error-handling. KITE would need to solve more than just tech problems: it would require design discipline and clear guardrails.
I also feel a sense of humility about where we are. The hype around agents and automation sometimes overshadows the work still needed: integration, testing, oversight, data quality, and above all: purpose. Automation for its own sake isn’t useful. The real value lies in thoughtful deployment: picking tasks that benefit from agentic autonomy, combining human judgement with agent speed, and always keeping human oversight. In that sense, KITE isn’t about replacing humans — it’s about giving humans a new kind of teammate: a flexible, modular collaborating agent.
On a personal note: I’ve spent time thinking about automation from the perspective of someone who values clarity, flexibility, and longevity. Too many automation tools I’ve seen become brittle fast — tied to a narrow workflow, unable to adapt when requirements change. A platform like KITE feels like a second chance: not just to automate, but to build something resilient. Something that can evolve.
Given the broader shifts — enterprises deploying agents more broadly, R&D around multi-agent frameworks, recognition that agents require orchestration — I suspect we’ll see more connective layers arise. Some will focus on security and governance. Some on orchestration logic. Others on user-friendly agent composition (so non-technical folks can compose workflows). KITE could sit at that intersection.
In the end, building the future of automation isn’t just a matter of smarter models or better tools — it’s about architecture. It’s about relationships: how tasks, agents, data, and people interact in a living system. And maybe most importantly, it’s about designing tools that don’t just solve a problem once — they stay useful, stay flexible, grow as needs evolve. That’s the hope I attach to what KITE could be.
