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PRODUCTION ARCHITECTURE

Production AI Workflows & Multi-Agent Blueprints

Production AI workflows are deterministic, stateful orchestration patterns where autonomous agents perceive context, execute verified tools, manage DAG graphs, and automatically recover from API failures.

Explore runnable, multi-file code architectures for LangGraph, CrewAI, Temporal, and vector stores—benchmarked for token economy, sub-100ms state recovery, and zero token waste.

Deep Dive AI Workflows

Build a Multi-Modal RAG Pipeline with Vision-Language Models & Hybrid Search

Documents are not just text — they contain images, charts, tables, and diagrams. This workflow builds multi-rag, a LangGraph pipeline that ingests multi-modal documents, indexes both text and visual content, and retrieves information across modalities using vision-language models and hybrid search.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Build an Edge AI Inference Pipeline with Quantized Models & WebGPU Acceleration

Cloud AI has latency and privacy costs. Edge AI runs models directly on devices. This workflow builds edge-infer, a LangGraph pipeline that routes inference requests to quantized models running on-device via WebGPU, with adaptive model selection based on task complexity and device capabilities.

Deepak Bagada Deepak Bagada
11m read
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 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
Deep Dive AI Workflows

Build an Industrial IT-OT Convergence Agent Workflow with Cisco & Rockwell

Cisco and Rockwell's converged industrial architecture connects PLC telemetry to cloud AI; this LangGraph workflow ingests OPC UA / MQTT signals through an edge gateway into a time-series store, runs anomaly detection and predictive maintenance, updates the MES, confirms safety interlocks locally, and routes every machine-affecting action through a human gate.

Deepak Bagada Deepak Bagada
9m read
Deep Dive AI Workflows

Build a Small-Business Agentic Operations Workflow with HoneyBook & Claude

HoneyBook's new Claude connector turns proposals, contracts, invoices, and client messaging into an API an agent can drive; this LangGraph workflow drafts documents in the owner's voice, tracks money status, auto-follows-up on a cadence, and escalates unpaid invoices to a human before the relationship sours.

Deepak Bagada Deepak Bagada
9m read
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