This is a submission for the Google AI Agents Writing Challenge: Learning Reflections
The 5-Day AI Agents Intensive with Google and Kaggle reshaped my understanding of how LLMs fit into real-world systems. I learned that modern agents are not just conversational interfaces, but structured, autonomous components capable of perceiving state, calling tools, executing workflows, collaborating with other agents, and operating within enterprise constraints.
The most impactful takeaway for me was the idea of agents as modular systems. Understanding multi-agent orchestration, A2A protocol, sessions and memory, context compaction, observability, and evaluation gave me a strong foundation to architect agent-based solutions with reliability and scale in mind.
I applied these concepts to build FinRegify, a lightweight compliance assistant for the Indian BFSI sector. Regulatory circulars from RBI, SEBI, and IRDAI are dense, complex, and frequently updated. Fintechs and banks struggle to interpret them with speed and clarity.
FinRegify reads regulatory PDFs and uses Gemini to:
- simplify policy content into short, actionable summaries
- provide domain-relevant examples
- generate structured implementation checklists with tasks, owners, priorities, and deadlines
This prototype is currently a single-agent flow, but I now see a clear path to evolving it into a multi-agent ecosystem:
- Summarizer Agent → simplifies legal & policy text
- Action Planner Agent → derives compliance implementation steps
- Evaluator Agent → validates clarity, completeness, and risk coverage
The Intensive made it clear that:
- multi-agent setups reduce complexity,
- observability transforms agents into auditable systems,
- sessions and long-term memory unlock enterprise continuity,
- and agent evaluation drives trust and adoption.
More importantly, it showed how agents can integrate directly into business workflows — particularly in highly regulated environments like BFSI.
This course didn’t just teach me how agents work; it helped me discover how to build a product around them. FinRegify is my first step, and I’m excited to continue evolving it into a scalable RegTech AI platform.
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