Field notes on unrestricted AI.
Guides for the teams putting uncensored models to work: security research, creative writing, and the economics of running your own content policy.
Why ChatGPT and Claude refuse your prompts, and what enterprises do instead
Why mainstream AI refuses legitimate professional work, why prompt tricks don't fix it, and the approach enterprises take to run their own content policy.
Uncensored LLMs for security research: the 2026 field guide
A practical guide to using uncensored, domain-tuned LLMs for legitimate security research: reverse engineering, vulnerability triage, malware analysis and detection engineering.
Writing adult and dark fiction with AI: models that don't break character
A craft guide to writing mature novels, games and screenplays with uncensored AI: choosing a model, prompting for a consistent voice, and keeping continuity across a whole manuscript.
NoFilter vs ChatGPT vs Claude: a content-policy comparison
Side by side on refusals, context length, model access and who actually controls the policy.
Abliterated models explained: how refusal-removal actually works
What uncensored and abliterated mean under the hood, and what the trade-offs are.
Reverse-engineering legacy drivers with an unrestricted AI assistant
A practical workflow for auditing old ring-0 drivers without hitting a wall on every request.
Open-weight vs hosted AI: who actually controls your content policy
Why running open-weight models yourself changes what your team is allowed to ask.
Token budgets, burst and credits: pricing uncensored AI at scale
How to think about monthly quotas, pay-per-use and credits for heavy workloads.
Stop getting refused. Start getting answers.
Request business access and put uncensored models to work this week.