Pasko Labs platform

CRAIGCLAW

Personal AI Orchestration Platform

The AI platform I use every day.

CraigClaw turns questions, experiments, and implementation work into systems I can keep using.

System status: ACTIVE

Built on OpenClaw and customized for Craig's workflows.

Core Philosophy

One model and one chat window are not enough.

Useful work crosses planning, coding, review, local processing, recurring jobs, and approval boundaries. CraigClaw keeps those paths explicit, and changes as I learn by building with it.

Cloud Reasoning

Planning, synthesis, coding, review, and complex judgment.

Local Runtime

Experimentation, private processing, benchmarking, resilience, and cost-aware workloads.

Deterministic Workflows

Recurring jobs, generated artifacts, delivery rules, and validation paths.

Operating Agreements

Boundaries for what can run, what needs review, and what stays private.

Architecture

CraigClaw sits between Craig and the systems that do the work.

User Craig

Platform CraigClaw

Keeps the work moving

ReasoningCloud reasoning

RuntimeLocal AI

ToolsAPIs and repos

WorkflowsJobs and artifacts

IntelligenceSignals

OperationsMission Control

LearningStudy Sunday

Platform Responsibilities

Coordinate reasoning

Send planning, coding, review, summarization, and decisions to the right path.

Select execution environments

Choose cloud reasoning, local runtime, scripts, or manual review based on the work and risk.

Route workflows

Connect recurring briefs, alerts, Study Sunday artifacts, repository work, and delivery tasks.

Manage delivery

Move outputs across Telegram, email, local artifacts, public pages, and operational views while preserving approval boundaries.

Collaborate with Craig

Propose, explain, validate, and implement within the operating agreements Craig sets.

Connected Systems

These are the systems CraigClaw connects to.

Intelligence Layer

Signals

Morning briefs, commute timing, What Actually Matters, event scans, and alerts. Signals ranks the inputs behind them.

Operational Cockpit

Mission Control

Shows health, jobs, freshness, telemetry, delivery status, and work that needs attention.

Local Runtime

Local AI

Handles local model experiments, private processing, benchmarking, and cost-aware runs when local execution is useful.

Learning Product

Study Sunday

Turns hands-on learning into public lessons while staying distinct.

Current Platform

FoundationBuilt on OpenClaw

Control SurfaceTelegram today

ReasoningFrontier cloud models

RuntimeLocal AI support

WorkflowsBriefs, alerts, lessons, repos

ToolsGitHub, Gmail, calendar, local scripts

ObservabilityMission Control

LearningStudy Sunday pipeline