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Rahul Agarwal
Founder | Agentic AI...ย โขย 4m
6 key steps to build scalable Al agents. I've explained each in short, simple steps below. 1. ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐ โ Define the agentโs core purpose โ Set clear agent goals โ Allocate team, tools, and data โ Run ethical/privacy risk assessment early ๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ: Support Bot โ Automate 80% of Requests โ 3 Devs + Zendesk Logs โ GDPR & Bias Check 2. ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ โ Choose orchestration framework โ Select a base model suitable for domain and scale โ Feed domain-specific documents (FAQs, SOPs, policies) โ Set safety filters and moderation rules ๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ: LangChain โ GPT-4 โ Internal Knowledge Base โ Guardrails on PII & Finance Advice 3. ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด โ Design reasoning and execution logic โ Integrate APIs, databases, tools โ Fine-tune using domain data โ Document architecture, configs, and dependencies ๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ: Intent Router โ Account API + Tools โ Fine-tune on Chat Logs โ YAML + Git Config 4. ๐ฉ๐ฎ๐น๐ถ๐ฑ๐ฎ๐๐ถ๐ผ๐ป โ Evaluate performance across scenarios โ Test full system integration โ Collect user feedback and interactions โ Stress test with rare and complex cases ๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ: Test Accuracy โ System QA โ Internal Feedback โ Edge Case Simulations (e.g. fraud, billing fail) 5. ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ โ Deploy to production environment โ Confirm safety layers function live โ Enable tracking, logging, analytics โ Ensure legal/privacy compliance ๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ: Web Launch โ Filters & Guardrails On โ Real-time Monitoring (Datadog) โ Policy Audit Approved 6. ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป โ Revisit business goals โ Retrain or adjust logic to reduce latency and improve UX โ Continuously refine based on real-world feedback ๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ: New Feature Requests โ Prompt Cleanup & Speed Boost โ Iterate from Feedback Loop You can follow these steps to build and scale effective AI agents tailored to your companyโs goals. โ Repost for others in your network who can benefit from this.
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