NextTech Insights
Security-first playbooks for Web3 + AI + modern engineering.
Short, practical, copy-pasteable.
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GSC setup (Next.js + Vercel)
Verify, submit a sitemap, and clear the most common indexing blockers.
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Safe airdrop claim checklist
Avoid signing scams and approvals that can be abused later.
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Permit2 (2026)
What changed about approvals, and how to use it safely.
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Next.js security update playbook
Patch fast, reduce blast radius, and keep evidence for incident follow-ups.
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Featured
Permit2 explained (Web3): why approvals changed and how to use it safely (checklist)
Permit2 changed how token approvals are handled in many EVM dApps. Learn what it is, where the risk concentrates, what to check on signing screens, and a practical routine to revoke unused permissions.
Latest Articles
RAG retrieval evaluation: Recall@k, MRR, and nDCG checklist (2026)
A practical RAG retrieval evaluation checklist. Build a labeled test set, measure Recall@k, MRR, and nDCG, separate retrieval failures from generation failures, and gate regressions.
Robots.txt, noindex, and canonical in Next.js: a practical indexing control checklist
A practical checklist for controlling what Google indexes on a Next.js site. Use robots.txt for crawl blocking, noindex for page-level exclusion, and canonical for duplicate consolidation.
How to fix Google-selected canonical mismatches
A practical checklist for when URL Inspection shows a mismatch between the user-declared canonical and the Google-selected canonical. Normalize URLs, use self-referencing canonicals, keep sitemaps aligned, and avoid changing canonicals in JavaScript.
Hybrid search and reranking for RAG: a practical checklist (2026)
A practical checklist to improve RAG retrieval with hybrid search (BM25 + vectors), rerankers, and query rewriting. Reduce “wrong chunk wins” by tuning filters, top-k, and evaluation.
RAG chunking and indexing: a practical checklist for better retrieval (2026)
A practical checklist for RAG chunking and indexing. Improve retrieval quality by choosing chunk sizes, overlaps, metadata, filters, and re-index policies that reduce noise and prevent “wrong chunk wins.”
RAG citations and grounding: a practical checklist for trustworthy answers (2026)
A practical checklist to make RAG answers trustworthy. Enforce citations, track doc_ids, handle conflicts, and prevent the model from inventing sources. Includes logging and UX patterns that scale.