HARRISON NDEKE / AI AUTOMATION BLOG
Practical articles on AI automation, agents, RAG, integrations, and the engineering work that keeps real systems dependable after launch.
FEATURED ARTICLE / 001API design / batch processing / idempotency / workflow reliability
For a partial-success batch API, create a durable ledger before the call, classify every item from the response, and retry only items the provider explicitly left unprocessed or identifies as transiently failed. Treat a timeout or missing response as unknown, not failed: reconcile by an idempotency key or a read-back query before sending anything again.
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Each article begins with a real implementation problem, distinguishes confirmed practice from judgment, and explains the trade-offs a production team should consider.
01API design / batch processing / idempotency / workflow reliability
A practical pattern for item-level outcome ledgers, selective retries, reconciliation, and idempotency when a batch API completes only part of a request.
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02AI agents / agent evaluation / tool calls / external effects
A practical guide to testing an AI agent's full trajectory, approvals, tool calls, external effects, and final system state before release.
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03AI agents / tool calls / JSON Schema / authorization
A practical guide to validating AI tool arguments, enforcing business rules and authorization, and testing consequential agent actions before execution.
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04backpressure / n8n / queue mode / workflow scaling
A practical guide to concurrency limits, bounded queues, retry budgets, load shedding, and overload monitoring for n8n workflows and AI agents.
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05prompt injection / RAG security / AI agents / tool security
A practical architecture for treating retrieved content as untrusted data, constraining agent tools, validating actions, and testing poisoned sources.
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06observability / n8n / workflow monitoring / automation reliability
A practical observability guide for connecting automation logs, metrics, traces, alerts, and synthetic checks to verifiable business outcomes.
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07idempotency / n8n / workflow reliability / duplicate prevention
A practical idempotency pattern for preventing duplicate messages, records, charges, and other side effects when automation events are retried.
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08AI agents / human approval / tool security / risk controls
A practical risk model for deciding which AI agent tool actions can run automatically, which need human approval, and what an approval gate must verify.
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09n8n / webhooks / security / API security
A practical security checklist for n8n webhooks covering authentication, request validation, replay protection, resource limits, safe responses, and production testing.
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10n8n / reliability / automation / error handling
Learn when to retry an n8n failure, when to use a fallback, how to configure an error workflow, and when to send work to human review.
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This blog supports search and answer-engine visibility by publishing crawlable, source-backed explanations tied to Harrison’s real services and project evidence—not keyword stuffing, fabricated results, or generic AI summaries.
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