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Guides topic
AI for developers and AI automation for businesses: practical guides, working examples and honest limitations.
Comparison
MCP connects agents to tools, A2A connects agents to other agents, and ARD helps agents find and verify both. What each does, their status in 2026 and how they fit.
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Tutorial
A Laravel 13 support assistant that answers from your help centre with citations: Gemini Embedding 2, pgvector search, grounding checks, human hand-off and evals.
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Comparison
The same Laravel task written with laravel/ai and with the Anthropic, OpenAI and Gemini PHP clients: trade-offs, lock-in, missing features, batch costs and testing.
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Tutorial
A step-by-step Python RAG tutorial: chunk documents, embed them with Voyage AI, search and rerank, then have Claude answer with citations from your own data.
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Resource guide
Four AI automations priced from published API, database and hosting rates, with the arithmetic shown and build, run and maintenance costs kept separate.
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Architecture guide
How to secure Model Context Protocol servers and clients: vet and sandbox servers, pin tool definitions against rug pulls, design approvals, check token audience and keep scopes small.
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Tutorial
Build a tool-using Gemini agent in NestJS 12 with conversations stored in PostgreSQL, validated tool arguments, SSE streaming and tests that run on PGlite.
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Tutorial
Build one TypeScript interface over the official OpenAI, Gemini and Claude SDKs, with capability checks, retries, fallbacks, shared schemas, tool calling and cost routing.
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Architecture guide
Hallucinations cannot be removed from language models, but they can be kept out of your workflows: ground, constrain, verify in code, route to people, and measure.
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Resource guide
How to test an LLM feature before you ship it: measurable success criteria, a real-input dataset, code and LLM graders, a Python harness and promptfoo in CI.
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Tutorial
Build an assistant that labels Gmail or Microsoft 365 email, drafts replies from approved templates and facts, and leaves sending to people. TypeScript, tested.
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Tutorial
Run slow AI jobs outside the request: idempotent job IDs, progress, retries that skip finished chunks, provider rate limits, cancellation and SSE or webhooks.
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