About

AIHackers helps people choose AI tools, spend less and build safely. We cover subscription bills and usage limits, model and coding-tool choices, and the risks of putting agents to work.

Start with a decision

• Paying too much? Start with the AI cost-saving playbook to compare billing routes, use capacity you already pay for and count the cost of retries.
• Choosing a tool? Browse the model evidence and tool guides. Check the model version, access route and review date before carrying a result into your own work.
• Giving an agent access? Read the setup guides and risk notes before connecting files, accounts or infrastructure.

How to read the evidence

Provider announcements describe what a provider says. Recorded tests describe a particular task, model, date and set of conditions. A worked example illustrates a calculation; it is not a measured saving. Unknown access, costs or results stay unknown.

Publication dates, content updates and source-review dates mean different things. A newer edit does not mean every claim was rechecked. Historical experiments retain their original context.

Use Evidence & methods to trace sources and limitations, including the verification methodology. Referral links and promotions must not change editorial recommendations or cost-per-result comparisons.

Corrections and updates

Send corrections or questions to [email protected]. Include the page URL, the claim and a source where possible.

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