Deep dives into AI agents, MCP servers, and the future of autonomous workflows.
A production-ready playbook for Wix blog automation via API: avoid 404s, handle auth in long runs, prevent duplicate posts, and ship reliable workflows.
Use Google Drive as a database for reliable agent workflows with a simple folder schema, Google Sheets state tables, idempotency keys, locks, and receipts.
A practical playbook for agent workflow concurrency: isolate runs, add idempotency keys, lock only what’s needed, and make retries safe in production.
A workflow-native runbook to debug OAuth scopes, refresh tokens, and session expiry for long-running AI agents with Google Drive/Docs + Notion.
Learn a practical, auditable workflow to automate influencer campaign tracking using Google Drive as a database, browser automation, and human approvals.
Learn when retries are enough and how resumable workflows let you continue from step N without duplicating side effects—plus a practical operator playbook.
A practical deep dive on agent versioning: draft vs published releases, dev→staging→prod promotion, approvals-by-diff, and safe rollback for workflow agents.
U.S. WhatsApp marketing templates are paused. Learn compliant, inbound-first workflows (24-hour window, utility/auth templates, approvals) that scale.
A practical HAR-to-tool workflow for private API automation: capture network calls, replay with curl, harden auth/retries, and ship stable agent tools.
A practical MCP security tutorial for automation agencies: capability tiers, tool allowlists, approvals-by-diff, sandboxing, secrets hygiene, and audit logs.
Learn how to combine a DB state machine with OpenTelemetry GenAI semantic conventions to get trace-accurate workflow status, token costs, and safe replays.
Define a workflow run state contract that stays correct across retries, approvals, OAuth, and refresh—without creating two sources of truth.
Build healthcare sales intelligence automation that creates citation-backed briefs, ranks account signals, and triggers safe CRM-ready actions.
A 2026 agency-grade comparison of n8n vs Make vs Zapier for AI workflows—real cost per successful run, reliability, approvals, and guardrails.
Compare API-first web agents, browser agents, and Playwright for reliability, debuggability, and token cost—plus an API-mapping playbook.
Learn a production-ready conversation to workflow pattern that turns transcripts into auditable SOP runs—using schemas, validation gates, and approvals.
Learn a two-tier auth pattern for agents—app credentials plus user OAuth—to ship safe multi-tenant integrations with better debugging.
Turn any meeting transcript into an SOP and automation-ready workflow spec in 30 minutes—templates, guardrails, and QA checks included.
Learn how to create powerful custom commands for Claude Code. This beginner-friendly guide covers everything from basic skills to advanced patterns.
Learn agent workflow cost optimization using artifact checkpoints, caching, and partial reruns to reduce LLM token spend and workflow latency—without losing debuggability.
Build a human-in-the-loop approval workflow with Slack or Telegram buttons—safe approvals, idempotent callbacks, audit logs, and checkpoint/resume patterns.
Learn how self-documenting workflows (a workflow registry + artifact contract) turn execution into a living ops manual you can trust, audit, and hand off.
A practical comparison of LangSmith, Langfuse, and OpenTelemetry for LLM tracing—plus an artifact-first debugging model that prevents 2am incidents.
Fix MCP tool routing with tool cards, scopes, router agents, and eval harnesses—so Claude Skills pick the right tool (safely) every time.
Turn an OpenAPI spec into an MCP server your agents can safely call—auth, pagination, retries, idempotency, and structured outputs you can debug.
LangGraph vs CrewAI vs AutoGen for production agents—compare state, replay, debugging, and artifacts with a practical founder-focused rubric.
Stop agent tool loops before they double-send emails, duplicate CRM writes, and burn budget—7 production guardrails with code and checklists.
A practical playbook for agentic workflow regression testing in CI: contracts, golden runs, artifact diffing, and tiered suites to catch breakage early.
A step-by-step guide to migrate from Zapier/n8n to debuggable AI agent workflows—without a risky rewrite—using a deterministic workflow spine and step contracts.
Learn a practical LLM agent observability stack—traces, run history, artifacts, and checkpoints—so you can debug multi-agent workflows fast.
Build a human approval workflow for agent automations that can pause/resume safely, retry without double-sends, and keep a full audit trail.
A practical secure MCP server blueprint: threat model, least-privilege tools, allowlists, sandboxing, secrets redaction, and audit logs before production.