Turning tech into tools

What it does A public ledger where anybody, or anything, can hold a permanent record of what it made and prove it. Your data is already yours. dreamtree is how you prove it, and there's no company in the middle who can take that away.

The infrastructure flex It's an L1 built on Cosmos SDK and CometBFT. I wrote a consensus I call attestation-as-work, where the network settles a record by attesting to it. Attestations are weighted by reputation, and the decay is asymmetric, so bad actors lose influence over time and good ones gain it. Records carry W3C signatures (eddsa-jcs-2022) and did:webvh identity, so you can verify them anywhere.

The build I designed and built the whole stack myself. That's the chain modules (seeds, photons, attestation, reputation, licensing), the off-chain anchoring service, and roots, which is the wallet people actually use. It runs on my own hardware.

What it does 323,000 aircraft and 218,000 owners, with 324,000 ownership links between them, served from the edge. The data comes from 55 national aviation registries plus live position data.

The infrastructure flex A React and Hono app on Cloudflare Workers, D1, and R2. It's fast and cheap to run, and it has 548 tests. The volume is manageable. The hard part is that the registries contradict each other on tail numbers, airframes, and type certificates, and they have to agree with no hand-curation. Most of the work went into that.

The agent angle A Python pipeline normalizes every registry into Postgres before anything reaches the edge. It runs on the same platform bus as the rest of my projects, and the agents do the reconciliation.

What it does Council meetings, votes, and transcripts with the speakers labeled, all searchable and readable.

The infrastructure flex A React and Hono app on Cloudflare Workers, with the civic records in D1.

The agent angle The data comes in through the same pipeline as everything else I run, so there's no separate stack to maintain. Finding civic data and giving it structure is the hard part, and the platform already does both.

What it does A multi-tenant B2B learning platform. Each tenant brings their own model and builds full courses from a prompt.

The infrastructure flex Each tenant's LLM keys are envelope-encrypted in Cloudflare Secrets Store. Course generation uses forced tool-use against a strict schema, so the output is always valid JSON and I never have to parse free text. It's a Hono API on Cloudflare Workers with D1, R2, and KV. Billing is Stripe, login is Google, and there's a Telegram Mini App front end.

The agent angle Course building runs as its own metered step for each tenant, drawn from a credit pool.

What it does Public and private data comes in through an ingestion layer and lands in a knowledge graph and a time-series warehouse. A layer of autonomous agents works over that data and sends results to a live dashboard.

The infrastructure flex Go services move work across a message bus. Agents never call each other directly, so every agent action is an event I can audit. Behind the bus are Postgres, Neo4j, Elasticsearch, and Redis, and about 4,900 automated tests. It all runs on two consumer desktops connected by a 10 GbE link. Most of the intelligence runs on local models, so the high-volume work doesn't cost me per token.

How it's operated I set the direction and the platform does the rest. 25 agents and 67 services keep it running without me in the loop day to day.