Hands-on reviews and build guides for AI agents, workflow automation and GEO tooling — tested against a running production pipeline, not a demo notebook.https://higeoseo.com/en-us© 2026 AgentStackhttps://higeoseo.com/blog/prompt-engineering-production/https://higeoseo.com/blog/prompt-engineering-production/The prompt is the smallest part of the system. What determines output quality is the context, the constraints, the feedback loop and the evaluation set.Mon, 26 Oct 2026 00:00:00 GMTprompt-engineeringllmproductionevaluationreliabilitysuhenggui@gmail.comhttps://higeoseo.com/blog/review-ai-code-assistants/https://higeoseo.com/blog/review-ai-code-assistants/Six months of AI coding assistants on a real .NET and Python codebase: where they genuinely help, where they generate noise, and what they cost.Fri, 23 Oct 2026 00:00:00 GMTaicoding-assistantdeveloper-toolsreviewllmsuhenggui@gmail.comhttps://higeoseo.com/blog/geo-content-that-gets-cited/https://higeoseo.com/blog/geo-content-that-gets-cited/Structure pages so generative engines can lift them — a 40-60 word direct answer, extractable facts, matching structured data, and crawler access.Wed, 21 Oct 2026 00:00:00 GMTgeogenerative-engine-optimizationcontent-strategystructured-datatechnical-seosuhenggui@gmail.comhttps://higeoseo.com/blog/llm-routing-guide/https://higeoseo.com/blog/llm-routing-guide/Three ways to route across models, compared on control, fallback behaviour, cost control, observability and portability — including when you need none of them.Tue, 20 Oct 2026 00:00:00 GMTllmroutingcost-optimizationinfrastructureapisuhenggui@gmail.comhttps://higeoseo.com/blog/build-your-first-rag-pipeline/https://higeoseo.com/blog/build-your-first-rag-pipeline/A working retrieval-augmented pipeline with chunking, reranking and an evaluation harness — plus the three failure modes that produce confident wrong answers.Sun, 18 Oct 2026 00:00:00 GMTragretrievalvector-databaseembeddingsllmsuhenggui@gmail.comhttps://higeoseo.com/blog/review-rag-embeddings/https://higeoseo.com/blog/review-rag-embeddings/bge-m3, gte, nomic-embed against hosted APIs: multilingual reach, long text, dimension cost, retrieval quality and the index rebuild trap.Fri, 09 Oct 2026 00:00:00 GMTragembeddingsvector-databasellmreviewsuhenggui@gmail.comhttps://higeoseo.com/blog/secure-your-ai-agent/https://higeoseo.com/blog/secure-your-ai-agent/Harden an agent that reads the web, calls APIs and writes files — where injected instructions land, plus least privilege, approval gates and audit logs.Fri, 09 Oct 2026 00:00:00 GMTai-securityagentsprompt-injectionleast-privilegellmopssuhenggui@gmail.comhttps://higeoseo.com/blog/vector-database-comparison/https://higeoseo.com/blog/vector-database-comparison/Three vector databases compared on deployment, filtering, latency, ops burden, cost model and scaling — plus which one fits your team.Tue, 06 Oct 2026 00:00:00 GMTvector-databaseragembeddingsinfrastructureself-hostingsuhenggui@gmail.comhttps://higeoseo.com/blog/evaluate-your-llm-pipeline/https://higeoseo.com/blog/evaluate-your-llm-pipeline/Build an evaluation set from real production traffic, assert on properties instead of exact strings, and wire it into CI so prompt changes ship on evidence.Mon, 28 Sep 2026 00:00:00 GMTllmevaluationtestingcillmopssuhenggui@gmail.comhttps://higeoseo.com/blog/n8n-vs-make-vs-zapier/https://higeoseo.com/blog/n8n-vs-make-vs-zapier/Three automation platforms compared on self-hosting, code escape hatches, task billing, retries and long-flow reliability — with a pick for each team size.Mon, 28 Sep 2026 00:00:00 GMTautomationworkflown8nintegrationai-agentssuhenggui@gmail.comhttps://higeoseo.com/blog/review-dify-vs-flowise/https://higeoseo.com/blog/review-dify-vs-flowise/Dify and Flowise compared after running both in production — orchestration model, RAG depth, self-hosting cost, API reuse and upgrade risk.Mon, 28 Sep 2026 00:00:00 GMTllmdifyflowiseorchestrationself-hostingsuhenggui@gmail.comhttps://higeoseo.com/blog/langchain-vs-llamaindex/https://higeoseo.com/blog/langchain-vs-llamaindex/LangChain optimises for agent chains and tool use; LlamaIndex optimises for ingestion and retrieval. Where each one actually saves you engineering time.Tue, 15 Sep 2026 00:00:00 GMTragllmpythonagentsframeworkssuhenggui@gmail.comhttps://higeoseo.com/blog/cut-your-llm-api-cost/https://higeoseo.com/blog/cut-your-llm-api-cost/Measure first, then route, cache, shorten, batch, and quantize — a practical order of operations for cutting LLM spend without shipping worse output.Mon, 14 Sep 2026 00:00:00 GMTllmcost-optimizationmodel-routingprompt-cachingapi-costsuhenggui@gmail.comhttps://higeoseo.com/blog/review-langfuse-observability/https://higeoseo.com/blog/review-langfuse-observability/What Langfuse actually did for my LLM pipeline: trace capture, token accounting, online evals and self-hosting reality, including what I regret.Mon, 14 Sep 2026 00:00:00 GMTllmobservabilitylangfuseevaluationself-hostingsuhenggui@gmail.com