> I have about $50 to spend on better software this month but I'm totally lost on how to actually test if an agent is actually reasoning Like someone mentioned, these things can trip over their own feet. Over the years I've learned the best test is throwing a curveball mid-chat. Tell it your egg supplier only delivers in dozens, then halfway through, say they switched to packs of 10. If it doesnt update the math, its faking it. OpenAI GPT-4o handles those shifts well and fits your budget easily.

ngl i went through the same headache when i first started testing agents for my own side projects. logic is basically just the ai being able to hold multiple variables in its head without tripping over its own feet... it can be tricky. honestly the best way to test this without being a coder is the chain of thought method. basically just ask it to show its work step-by-step. if it jumps from i need 500 eggs to order 20 cartons without explaining the math, its probably hallucinating and making stuff up. i have been really happy with OpenAI ChatGPT Plus Subscription GPT-4o for this kind of thing lately. for your 50 bucks you can grab a monthly sub and still have cash left for coffee. what works well for me is giving it a logical trap. tell it you have 100 cupcakes to make, each needs 2 eggs, but you already have 3 cartons of 12. then tell it 5 cupcakes always get burnt. if it can factor in the waste and the existing stock correctly, you know the reasoning is solid. i did a similar test for a logistics setup i was building and the data was spot on. no complaints here. another one that works well is Anthropic Claude 3.5 Sonnet Professional because it feels a bit more natural in how it breaks down complex problems. if it can explain its pathing, it is usually smart enough for a bakery.

Honestly, seeing an AI mess up basic bakery math is such a mood. I've been super satisfied with the newer reasoning models lately, they actually work well for logistics stuff. To test if it's faking it, you gotta force it to show its work.

• Use Chain of Thought prompting. Just tell it to explain each step of the math before the final answer. If the steps look like nonsense, the agent is just guessing.
• Check out OpenAI o1-preview LLM. It is specifically designed to spend more time thinking through logic before it responds. It handles my complex scheduling with no complaints.
• DeepSeek R1 Reasoning Model is another one that handles logic tasks really well and it's super budget-friendly. Basically, if it can explain why it wants you to buy 10 cartons of eggs step-by-step, it's actually reasoning instead of just throwing out random numbers. You'll stay way under your 50 dollar budget with either of those.