Agent Playbooks
Deep, step-by-step guides to building an AI agent for a real workflow. Each one covers the architecture, a runnable build shown in Google ADK, the Claude SDK, and LangGraph, a wireframe of the interface, and what it takes to harden and scale it.
Read invoices, match them to POs, flag exceptions, and post for approval, with a human in the loop.
Read the playbook →Generate GST-correct invoices, register the IRN, reconcile payments and GSTR-2B, and chase overdue invoices.
Read the playbook →Match payouts, statements, and ledgers and surface the mismatches that leak money.
Read the playbook →Answer from your knowledge base with grounded RAG, triage sentiment, escalate the hard ones, and learn from every ticket.
Read the playbook →Catch every missed call, WhatsApp, form, and ad lead, acknowledge in seconds, qualify, score, and route the hot ones to a human.
Read the playbook →Triage, draft replies, extract tasks, and keep the inbox at zero.
Read the playbook →Book meetings, protect focus time, and resolve calendar conflicts automatically.
Read the playbook →Capture decisions and action items from calls and push them to your tools.
Read the playbook →Reading is one thing, shipping a reliable agent into production is another. Galific designs, builds, and runs agents that hold up under real load.
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