--- title: Build Production AI workflows in 2026, because whatever... description: A reference architecture guide for JavaScript/TypeScript engineers building production AI systems in 2026. Covers five distinct infrastructure layers: model... canonical: https://daily.dev/posts/build-production-ai-workflows-in-2026-because-whatever-you-build-only-runs-well-in-your-system--h4fqrj4b7 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Build Production AI workflows in 2026, because whatever you build — Only runs well in your system. | daily.dev og:description: A reference architecture guide for JavaScript/TypeScript engineers building production AI systems in 2026. Covers five distinct infrastructure layers: model... og:url: https://daily.dev/posts/build-production-ai-workflows-in-2026-because-whatever-you-build-only-runs-well-in-your-system--h4fqrj4b7 og:image: https://api.daily.dev/og/posts/H4FqrJ4b7.png og:image:alt: Build Production AI workflows in 2026, because whatever you build — Only runs well in your system. og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Build Production AI workflows in 2026, because whatever you build — Only runs well in your system. **[Medium](https://daily.dev/sources/medium_js)** · 8 min read · 0 upvotes · 0 comments ## Summary A reference architecture guide for JavaScript/TypeScript engineers building production AI systems in 2026. Covers five distinct infrastructure layers: model and agent (Vercel AI SDK v7, LangGraph, OpenAI Agents SDK), gateway (Portkey, OpenRouter, LiteLLM for routing, failover, and budget caps), durable execution (Temporal for resumable multi-step workflows), observability (OpenTelemetry GenAI Semantic Conventions, Langfuse, Helicone), and evaluation and guardrails (Braintrust for CI/CD evals, inline PII and jailbreak detection). Key argument: most AI features stay fragile past the demo stage because teams treat the entire AI stack as one undifferentiated blob rather than distinct architectural layers, each with its own failure modes and tooling. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What new features did Vercel AI SDK version 7 add for building agents? Vercel AI SDK version 7, shipped June 25, 2026, added reasoning control, typed tool and runtime context, durable WorkflowAgent support, human-in-the-loop tool approvals, sandboxed code execution, native MCP support for external tool discovery, and built-in telemetry emission out of the box. _Track SDK releases like this on daily.dev before they reshape your agent architecture._ ### Why do I need a gateway layer in front of my LLM provider calls in production? A gateway handles routing, failover, cost tracking, and guardrails between an application and model providers, protecting against provider incidents and runaway cost spikes. As of mid-2026 none of the major gateways (Vercel AI Gateway, OpenRouter, Portkey, LiteLLM) markup token spend; the critical protective feature is an enforced hard dollar budget cap per key that fails closed, turning a runaway loop from a $20,000 incident into a $200 one. _Compare gateway tradeoffs on daily.dev before locking in a provider routing strategy._ ### Why shouldn't I store raw LLM prompt and completion text in searchable observability spans? OpenTelemetry's GenAI Semantic Conventions deliberately keep prompt and completion content out of indexed span attributes, placing it in events instead, because raw prompts routinely carry PII. Indexing full prompt text into a searchable field turns an observability feature into a compliance liability rather than a debugging asset. _Follow evolving OTel GenAI conventions on daily.dev to keep AI observability compliant._ ## Similar posts on daily.dev - [The AI Stack in 2026: 11 Layers Behind Production-Ready AI Systems](https://daily.dev/posts/the-ai-stack-in-2026-11-layers-behind-production-ready-ai-systems-jdcq77ovf) · Medium · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#typescript](https://daily.dev/tags/typescript), [#observability](https://daily.dev/tags/observability) [View this post on daily.dev](https://daily.dev/posts/build-production-ai-workflows-in-2026-because-whatever-you-build-only-runs-well-in-your-system--h4fqrj4b7) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Build Production AI workflows in 2026, because whatever you build — Only runs well in your system.","url":"https://daily.dev/posts/build-production-ai-workflows-in-2026-because-whatever-you-build-only-runs-well-in-your-system--h4fqrj4b7","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/build-production-ai-workflows-in-2026-because-whatever-you-build-only-runs-well-in-your-system--h4fqrj4b7"},"datePublished":"2026-07-23T10:55:09.060Z","dateModified":"2026-09-13T20:17:39.033Z","description":"A reference architecture guide for JavaScript/TypeScript engineers building production AI systems in 2026. 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