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A code-script icon fanning out into a grid of file cards, most marked with an emerald checkmark and one flagged red, beside the headline Dynamic Workflows
June 2, 2026 Claude Code Dynamic Workflows: Audit a Laravel App Without Losing the Thread You pointed Claude Code at your whole Laravel app and it forgot file 5 by the time it reached file 50. Dynamic workflows fan the job out across isolated agents, then send skeptics to disprove every flag. Here's the audit, the upgrade sweep, and when it's the wrong tool.
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Evaluating RAG in Laravel — a query arrow pulling the wrong document, a red warranty card, out of a stack while the correct emerald shipping card stays put
May 31, 2026 Evaluating RAG in Laravel: Is Your Agent Retrieving the Right Chunks? Your Laravel RAG demo answers fine. That doesn't prove retrieval is right. Here's how to eval a RAG system built on the AI SDK and pgvector, and catch the regression that ships to production without a single error.
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An agent orchestration diagram: a Support Agent delegating to Refunds, Orders, and Account specialist sub-agents
May 30, 2026 Multi-Agent Orchestration in Laravel: When You Actually Need It The Laravel AI SDK lets one agent delegate to another. Most teams reach for it too early. Here's when sub-agents earn their place, the three gotchas that bite you, and how to test the hand-off.
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An emerald shield deflecting a malicious prompt away from a database and a tool, illustrating prompt-injection guardrails in a Laravel AI app
May 30, 2026 Prompt-Injection Guardrails in Laravel: Defend the Tools, Not the Prompt You can't out-prompt an attacker — to the model, your instructions and a malicious ticket are the same text. Here's where guardrails actually live in a Laravel AI app: the tools, the middleware, and the output.
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Evals in Laravel — a Laravel AI SDK eval suite in a terminal showing green PASS rows, one red FAIL, and an 88% pass-rate bar
May 29, 2026 Evals in Laravel: How to Prove Your AI Output Is Actually Good Your Laravel AI tests prove the code runs. They don't prove the output is good. Here's how to eval a real feature with the AI SDK: a golden dataset, an LLM judge you build yourself, and a regression gate that catches a bad prompt before your customers do.
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