A small Recursive Language Model: let any LLM run code on its context instead of stuffing it into the prompt.

A full-stack social token platform implementing EIP-4974. Includes Solidity smart contracts, AWS Lambda automation, and Terraform infrastructure for community rewards, token distribution, and engagement.

Return on Tokens — measure the economic value of AI coding work per dollar of compute, from Claude Code session telemetry

Intent-Driven Development (IDD) reference architecture — measurable AI code generation using skills, schemas, and adapters. Contrasts Clarification Heavy, Assumption Led, and Intent Optimized modes via ICR (Intent Compression Ratio).

400M tokens burned by an AI agent loop. What happened, how to prevent it, and the cost comparison that will make you rethink your AI provider.

A decentralized infrastructure network (DePIN) for managing low-altitude airspace. This repository is for brainstorming and documenting ideas around tokenized airspace, decentralized governance, droneports, and community-driven UAS traffic management.

Learning sandbox project.

AI engineering portfolio with Next.js demos for LLMs, RAG, vector search, embeddings, agents, MCP, guardrails, observability, prompt engineering, and token economics.

The open layer of agentbox.id — skills, protocols, and documents for a world where Agents act and converse on the network. Grounded in first principles: token economics, conversation rhythm, guardianship.

The ugly truth about LLMs in production — hallucination reality, token economics, latency walls, eval nightmares, and vendor lock-in.

GitHub profile README for Faraazuddin Mohammed's token economics open-source work

AST-aware Claude and Codex model router for token-conscious coding agents

Proof-of-Action: A Verifiable Minting Policy for Utility-Backed Digital Economies — White Paper

Put your LLM payloads on a token diet — reproducible token-cost benchmark + a visual playground that shows tokens & $ across models.

JTF — lossless compact JSON for LLMs (~33% fewer tokens). Formal spec + Python & JS reference libs + cross-language conformance suite.

Quote-to-Cash LLMOps Control Plane — token cost attribution, quality scoring, latency SLOs, prompt versioning, and semantic drift detection for production LLM revenue workflows. Local-first with Ollama. No API key required.

A 10-day public experiment analyzing rule-level incentives, reward geometry, and security in the Bittensor protocol (AI + Crypto). Includes detailed daily analyses, first-principles reasoning, and diagnostic metrics.

Educational multi-cloud orchestration gateway for scaling research-to-implementation workflows with intelligent token economics and ACI-aware routing