Redditech Labs uses OpenClaw as an agentic operating system for research, development, QA, publishing, and operations. This page describes the public shape of that system without exposing private memory, credentials, or client-sensitive configuration.
Operating claim
Redditech Labs does not only advise on AI workflows. It operates an internal agent workflow daily, logs failures and postmortems, and turns the lessons into shipped software, public research, and reusable playbooks.
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Research, build, QA, writing, operations, video, cost analysis, planning, and synthesis are split across named agents with durable charters.
Project STATUS files, daily logs, searchable memory, and resume protocols keep work from evaporating when sessions restart.
The Hybrid Control Plane tests local and cloud models by task type, uses gates to inform routing decisions, and keeps model selection empirical.
Telemetry, spend tracking, watchdogs, health checks, and postmortems make the agent system auditable instead of magical.
External actions, publishing, credentials, spending, sensitive claims, and destructive operations stay approval-bound.
Agents can draft, build, test, review, package, and monitor. Humans still approve external publication, spend, credentials, sensitive claims, client boundaries, destructive operations, and anything that changes someone else's system.
Artifacts beat anecdotes: every serious claim needs a page, repo, video, benchmark, or postmortem.
Agents need process, memory, and accountability more than clever prompts.
Local models are promoted by measured task fit, not brand preference.
Sensitive details stay private; public pages show architecture and evidence, not secrets.