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Deep Dive AI Workflows

Build a Computer-Use Agent Workflow with Playwright MCP & Visual Grounding

AI agents can now operate desktop applications through visual grounding and GUI action tokens. This workflow builds gui-agent, a LangGraph pipeline that takes a natural-language task, captures screenshots, identifies UI elements with visual grounding, generates click/type/scroll actions, and executes multi-step workflows across desktop applications.

Deepak Bagada Deepak Bagada
12m read
Deep Dive AI Tools

Build a Healthcare Diagnostics MCP Server for AI Clinical Decision Support

Clinical decision support is one of the highest-value applications of AI in healthcare, but it requires governed tool access that respects patient privacy. This MCP server gives any clinical AI agent the tools it needs: symptom differential analysis, drug interaction checking, clinical guideline retrieval, and patient risk scoring with structural HIPAA guards.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Build an Agent-Native Supply-Chain Risk Workflow with Multi-Tier Supplier Monitoring

Supply chain disruptions cost the global economy $4 trillion annually, and most companies only monitor their direct suppliers — leaving tier-2 and tier-3 vendors invisible. This workflow builds chain-watch, a LangGraph agent pipeline that monitors suppliers across multiple tiers, scores risk using structured signals, and triggers automated mitigation actions when thresholds are breached.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Build an Agentic Clinical-Trial Matching Workflow with Patient Privacy & Human Escalation

95% of clinical trials miss their enrollment targets, and the primary bottleneck is patient-to-trial matching. This workflow builds trial-match, a LangGraph pipeline that ingests de-identified patient profiles, matches them against active trial criteria, scores eligibility, and routes borderline cases through a clinician escalation gate — all within a privacy-preserving architecture that never exposes raw patient data to the model.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Build a Multi-Agent Financial Reconciliation Workflow with Temporal Durable Execution

Enterprise finance teams process millions of transactions daily, and manual reconciliation is a top source of accounting errors. This workflow builds recon-fleet, a LangGraph pipeline with Temporal durable execution that matches transactions across ledgers, flags discrepancies, routes disputes through human review, and produces an audit trail — turning a days-long manual process into an automated, auditable workflow.

Deepak Bagada Deepak Bagada
11m read
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