Author: Oscar Serra

Every Token, Every Dollar: The Tinker Command Center

Stop guessing what your AI costs. The Tinker Command Center shows every token, every dollar, and every byte of context in real time — per model,…
Pick the Right Brain for Every Task: The Effort × Model Slider

Stop sending “format this JSON” to your most expensive model. TinkerClaw’s effort × model slider lets you pick the right brain for every task — a…
The Recipe Book: TinkerClaw’s Playbook Library

Smart agents forget how they did the smart thing. A recipe is the cure: a named, ordered, portable workflow the agent can re-run instead of re-deriving.…
Watching an Agent Think: The EEG View

Most agents are black boxes. This one has an EEG. Every turn an agent takes passes through seven stages — recall, salience, planning, action, narration, reflection,…
The TinkerClaw Brain — we mapped agent capabilities onto the human brain, then built it

What is TinkerClaw? The first AI agent that makes itself smarter every day. A heavily-forked OpenClaw agent whose capabilities are modelled on the regions of the…
STRIATUM: Learned Personality Modulation — Tuning an Agent’s Behaviour from Feedback, Not Static Prompt Text

Your agent’s personality is hand-written prose in a prompt file — and the one mechanism meant to tune it from feedback has injected exactly zero bytes…
BROCA: Giving Agent Recipes a Grammar — A Gradual Type System and Combinator Algebra for Self-Composing Workflows

BROCA gives agent recipes a grammar: a gradual typed value model, compile-time contracts, a sandboxed control grammar, a combinator algebra, a skill standard library, catchable recovery,…
SALIENCE: The Death of Fixed Thresholds, the Pyramid of Significance, and Cheap Traversal as the Basis of Next-Generation Vibe Programming

Relevance must be re-computed from the live situation — not read off a frozen list. SALIENCE argues for three pillars: kill fixed thresholds, order knowledge as…
Instant Recall: A Pre-Computed Concept Index for O(1) Memory Retrieval in Persistent AI Agents

Your agent has the answer in its memory and still can’t find it; Instant Recall builds an offline concept index so retrieval is a constant-time lookup…
Sleep Consolidation: How Nightly Prompting Makes a Stateless Agent Get Better Over Time

A stateless AI agent that gets 79% fewer incidents over 30 days — not by fine-tuning, but by a nightly loop that rewrites its own operating…