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Short, practical writing on building AI systems — what we shipped, what broke, and what we would do differently. RAG, agents, MCP, infrastructure. Not a blog — a logbook.

ENTRIES 17
ARCHIVE 2025 - present
AVG READ 6 minutes
AUTHORS Andrea Phillips · Daniel Phillips
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★ FEATUREDLN/012 · 2026.05.19 · 5 min read · Infrastructure

Beyond SaaS: introducing our paper on Delegate

We published a paper arguing that significant categories of SaaS are being displaced by ephemeral software — and that the missing layer is an accountable substrate for model-driven action.

DPDaniel Phillips·Product Architect and Software Design Strategist·Tagged: Infrastructure · MCP · Research · Delegate

FIG. 03 — Context budget · Per-tool vs. meta-toolLN/012 · v1.0

Per-tool MCP · Baseline≈ 297,000 tok

33 services × 30 tools × 300 tok / schemaOverflows frontier ctx →

Delegate · Meta-tool surface≈ 1,050 tok

07 endpoints · Fixed schema, catalog-independent↳ Single streamable HTTP

→ Structural reduction ≈ 99%Gap widens with catalog

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N · 172026.05.23Your agents have amnesia. I gave mine a memory.My agents each kept a private memory of me, locked in their own walls and impossible to move. MegaBrain indexes my Obsidian vault so every agent shares one memory I actually own.LN/015 · Infrastructure N · 162026.05.22When I'm gone: what happens when personal AI agents outlive their usersAn agentic AI with credentials, judgment, and a stated goal does not stop when its principal dies. That is not a grief-tech problem. It is a delegation problem nobody has solved.LN/014 · Agents N · 152026.05.21Evermind: what happened when we tested associative memory at scaleWe published a paper testing whether spreading activation over a memory graph improves retrieval for LLMs. At production scale, the honest answer is: barely, and only if you tune it carefully.LN/013 · Research N · 142026.05.19Beyond SaaS: introducing our paper on DelegateWe published a paper arguing that significant categories of SaaS are being displaced by ephemeral software — and that the missing layer is an accountable substrate for model-driven action.LN/012 · Infrastructure N · 132026.05.07What is an AI product studio?Not a consultancy, not an agency, not a product company. What the model actually is, and when it fits.LN/011 · Process N · 122026.04.18What we learned shipping RAG to a courtroomRetrieval quality is a product problem, not a model problem. Six months into production, this is what held up and what failed.LN/000 · RAG

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