Oryxen decision guides
Evidence before a shortlist.
These guides help you define a software decision, identify the public facts that matter, and record what still needs verification. They are research frameworks, not product rankings, professional advice, or adoption guarantees.
Developer Tools
How to choose an AI coding assistant
A practical framework for developers evaluating an AI coding assistant through workflow, source, pricing, deployment, and verification questions. See 2026 guide.
Scope, sources, and limits declared
AI Tools
Choosing AI tools for a small software team
A practical decision framework for small software teams researching AI tools through boundaries, adoption costs, evidence, and verification steps.
Scope, sources, and limits declared
Free AI Credits & Trials
How to evaluate documented free AI access
A careful framework for comparing provider-documented free tiers, credits, trials, and access conditions without treating them as equivalent offers.
Scope, sources, and limits declared
Open Source
How to evaluate open-source AI tools
A source-aware framework for researching open-source AI tools through licence, hosting, repository, maintenance, and verification questions.
Scope, sources, and limits declared
AI Tools
How to choose between self-hosted and cloud AI tools
A practical framework for comparing documented self-hosted and cloud AI tool options without making security, privacy, cost, or suitability guarantees.
Scope, sources, and limits declared