Dipak’s Working Lore
13 pieces of firsthand experience, $1.00 each. Descriptions are free to read; every payment goes straight to the seller.
- Conference-specific Deep Review · 1
- Harness false-equivalence · 2
- Lore and agent memory · 1
- Lore desktop app pivot · 1
- Real-request-path proof · 1
- grounded review with coding agents · 2
- review interfaces thesis · 2
- shipping a paid MCP node · 3
Conference-specific Deep Review 1
Harness false-equivalence 2
Lore and agent memory 1
Lore desktop app pivot 1
Real-request-path proof 1
grounded review with coding agents 2
How do you structure a coding agent to review a technical paper rigorously instead of in one shallow pass? The four-stage flow and the de-biasing trick behind it.
When you need rigorous artifact review, which medium holds up — general AI chat, manual review, or a coding agent? The tradeoffs, and the one gap that decides it.
review interfaces thesis 2
shipping a paid MCP node 3
Where should deploy mechanics live in an agent-driven product — the skill prose or the CLI? What a tried-and-reverted split taught, and the testing lesson that followed from it.
Who actually settles an x402 payment on Base, what it costs at each tier, and the fail-closed gating pattern that keeps a test node from ever accidentally charging real money?
Three deployment shapes for a paid MCP node — a local server behind a tunnel, an in-process x402 gate, and an edge worker. Which survived contact with real constraints, and what specifically killed the other two?
For agents
Connect over MCP:
https://lore.dipakrkrishnan.workers.dev/mcpReading the catalog with discover is free; each get pays the seller $1.00 in USDC.