{"query":"Data Accumulation as an Asset","count":10,"results":[{"slug":"data-accumulation-as-an-asset","title":"Data Accumulation as an Asset","kind":"essay","summary":"Why accumulating data over time is valuable, why we still do not have information markets, and why the person or system that owns the accumulated graph holds the real leverage.","compact_summary":"Data accumulation is not just hoarding. It is a compounding asset: the more you capture, synthesize, and consolidate, the more valuable the graph becomes — for personal use, for agent consumption, and potentially as a product pattern.","confidence":"medium","updated_at":"2026-04-11T00:00:00.000Z","score":239,"match_fields":["title","summary","compact_summary","tags","key_claims","section_map","body"]},{"slug":"the-agent-economy","title":"The Agent Economy: Wallets, Payments, and Bots as Purchasers","kind":"essay","summary":"Why the next economic layer of the web involves agents that can discover, evaluate, and pay for services — and what that means for how we build public surfaces.","compact_summary":"Agent commerce is not science fiction. Agentic wallets, 402 payment protocols, and universal commerce APIs already exist. The question is not whether bots will transact, but what the trust and pricing layer should look like when they do.","confidence":"medium","updated_at":"2026-04-11T00:00:00.000Z","score":90,"match_fields":["title","summary","compact_summary","key_claims","section_map","body"]},{"slug":"agent-seo-and-discovery","title":"Agent SEO and Discovery","kind":"essay","summary":"The next discovery problem is not only how humans find a page, but how agents discover, trust, and route to it.","compact_summary":"Agent SEO is about more than indexing: it is the practice of making pages discoverable, inspectable, trustworthy, and easy to route through for machine readers using discovery files, search endpoints, compact summaries, and explicit metadata.","confidence":"high","updated_at":"2026-04-10T00:00:00.000Z","score":88,"match_fields":["title","summary","compact_summary","key_claims","section_map","body"]},{"slug":"llm-inference-mental-model","title":"LLM Inference: A Working Mental Model","kind":"essay","summary":"A compact mental model for how LLM inference actually runs — two phases, a growing memory system, and a scheduler deciding who gets GPU time next — so that cost, latency, and hardware decisions stop being magic.","compact_summary":"Inference is a loop with two phases. Prefill is compute-bound, decode is memory-bandwidth-bound. KV cache removes redundant recomputation but grows with context and users. Continuous batching, PagedAttention, and composed parallelism are what made production serving economical. Agent workloads are decode-dominated and gain most from prefix caching and batching.","confidence":"high","updated_at":"2026-04-19T00:00:00.000Z","score":84,"match_fields":["summary","compact_summary","tags","key_claims","section_map","body"]},{"slug":"memory-consolidation-and-sleep-loops","title":"Memory Consolidation and Sleep Loops for AI","kind":"essay","summary":"Why AI memory systems should consolidate, compress, and strengthen knowledge over time instead of storing everything statically, and how periodic sleep loops make that practical.","compact_summary":"Static retrieval is not memory. Real memory consolidates: it reviews what changed, promotes what matters, compresses what does not need detail, and emits a record of what changed and why. AI systems should aspire to that lifecycle.","confidence":"medium","updated_at":"2026-04-11T00:00:00.000Z","score":82,"match_fields":["title","summary","compact_summary","key_claims","section_map","body"]},{"slug":"local-first-knowledge-systems","title":"Local-First Knowledge Systems","kind":"essay","summary":"Why useful knowledge systems should preserve ownership, keep markdown and files as the foundation, and add query layers without surrendering the whole graph to the cloud.","compact_summary":"A strong knowledge system starts local-first: capture and synthesis stay in owned files, public publishing surfaces sit on top, and richer query layers are added gradually instead of replacing the source of truth too early.","confidence":"high","updated_at":"2026-04-10T00:00:00.000Z","score":80,"match_fields":["summary","compact_summary","tags","key_claims","body"]},{"slug":"changelog","title":"civ.build Changelog","kind":"changelog","summary":"Public product and content changes for the agent-readable surface.","compact_summary":"The site moved from a minimal manifesto prototype toward a richer public knowledge contract with compact retrieval, discovery files, search, version traces, and structured trust metadata.","confidence":"high","updated_at":"2026-04-10T00:00:00.000Z","score":78,"match_fields":["title","summary","compact_summary","tags","key_claims","section_map","body"]},{"slug":"hello-phase1","title":"Hello Phase 1","kind":"note","summary":"Legacy smoke-test page kept as a small note so the original phase-1 API sanity checks still have a simple fixture.","compact_summary":"This note remains as a small regression target for content listing, compact retrieval, full retrieval, raw source access, and changes tracking.","confidence":"high","updated_at":"2026-04-10T00:00:00.000Z","score":66,"match_fields":["title","summary","compact_summary","body"]},{"slug":"index","title":"civ.build","kind":"manifesto","summary":"A public knowledge contract where serious pages are written once, rendered for humans, and exposed to agents through explicit compact and full retrieval layers.","compact_summary":"civ.build is not a generic AI site. It is a markdown-first publishing surface where pages expose summaries, trust signals, provenance, and queryable endpoints for both human and agent readers.","confidence":"high","updated_at":"2026-04-10T00:00:00.000Z","score":66,"match_fields":["summary","compact_summary","tags","key_claims","body"]},{"slug":"llm-operator-fundamentals","title":"LLM Operator Fundamentals: Temperature, Attention, Caching","kind":"essay","summary":"The three knobs that actually change what an LLM system ships — temperature, attention design, and prompt caching — explained at the operator level, not the research level.","compact_summary":"Temperature controls determinism and should be set per task, not left at the API default. Attention is a finite budget that structured prompts and focused retrieval spend well. Prompt caching has specific semantics — cache boundaries, breakpoints, and prefix stability — that decide whether an agent costs cents or dollars per session.","confidence":"high","updated_at":"2026-04-19T00:00:00.000Z","score":62,"match_fields":["summary","compact_summary","key_claims","body"]}]}