Author: Oscar Serra

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 cheap…
The Recipe Book: TinkerClaw’s Playbook Library

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

The EEG view in TinkerClaw draws every model call my agent makes as a live trace, with the effort level as the column, the provider as…
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: Finding What the Agent Already Owns

Your assistant often already owns what a task needs, such as a skill, a machine login or last month’s setup, and still doesn’t reach for it;…
Sleep Consolidation: A Repeated Correction Earns a Diagnosed, Tested Repair

When you have to correct your AI assistant twice about the same thing, this design has it find out why the first lesson failed and repair…
Identity Persistence: Keeping an LLM Agent’s Personality Stable Across Sessions, Model Swaps, and Restarts

Your agent keeps every fact and still stops sounding like itself — Identity Persistence pins the persona every turn, compacts the task without flattening the voice,…