40 Percent Dumber the Moment You Talk

All AI models, including the giants like ChatGPT and Claude, shine in single prompts but lose up to 39% of their smarts in ongoing chats, as shown in a 2025 Microsoft-Salesforce study.

That just backs up my experience with smaller, dumber models, where the effect is just more obvious and seen faster.​

This “multi-turn erosion” frustrates real-world use, from coding projects to math problems, and even simple fun stuff like chatting with a character.

When the bot forgets who you are, forgets where it is and even forgets if it’s wearing trousers or not, the immersion melts away fast! How fast? Surprisingly fast…

Multi-Turn Drains Smarts Fast

In one-shot prompts, AIs get the full picture upfront – math problems, instructions, all in one go – so they nail benchmarks.

But conversations mimic life: details trickle in turn-by-turn. Models then “prematurely answer” (guessing early), bloat replies with fluff, forget mid-thread, or overreact to the latest input.

Over only 10+ exchanges, context windows clog, dropping accuracy sharply (e.g., 58% to 35% success in Salesforce tests). Even “thinking” models like o1 struggle, recovering just 15-20% with tweaks.

With public distrust rising (41% per YouGov 2025) and 95% of AI pilots flopping on ROI, a smarter approach like Biggly proves hype doesn’t help, and you don’t need massive models on massive datacenters, just pragmatic workarounds – to have fun in private.

How Biggly Bot Counters This

Biggly Bot, a custom-made character chat app I built to help overcome such issues, deploys ongoing corrective prompts to keep the AI not on rails (that’s no fun), but to keep it’s nose pointing in the right general direction.

Instead of letting history snowball into confusion, it injects focused nudges that reinforce goals, trim noise, and course-correct drifts without bloating the full context. Indeed it quit ruthlessly trims the context as you talk.

This shines for fun (fictional roleplay) where low-stakes fixes feel natural, turning erosion into engaging flow and fun!

The Biggly Dynamic Character Engine™

This ‘engine’ is the core of what makes Biggly Bot different.

Rather than throwing a bigger model at the problem or hoping the AI just remembers things, the Dynamic Character Engine is a whole system of moving parts working together behind the scenes to keep your characters alive, consistent and evolving.

It manages what the AI knows and when it knows it. It watches the emotional of character relationships and adjusts what gets fed into the model’s brain at just the right moment.

It decides what to remember, what to forget, and what to quietly reinforce without you noticing, but does offer up new nuggets of knowledge for your approval or editing.

It gates content behind conditions so characters reveal things naturally rather than dumping their entire personality into the first message. It even assigns probability to behaviours, so characters feel spontaneous rather than scripted.

The result? Characters that feel like they have an inner life. They remember things that matter. They surprise you. They grow with you over time. And they do all of this running on modest hardware, on your machine, with no technical expertise needed, no subscription, and nobody watching.

The big AI companies are spending billions trying to solve multi-turn degradation with brute force, bigger models, longer context windows, more compute. Biggly takes a fundamentally different approach: don’t fight the limitation, work around it with clever engineering that keeps the AI focused on what actually matters right now.

You don’t need a genius model or to be a genius to use it. You just need a good PC and a model file of about 6GB that’s being told the right things at the right time.

Try Biggly Bot free for 7 days and see what a small, private AI can do when it’s got a proper engine under the hood. No sign-up, no cloud, no nonsense. Just download it, pick a character, and start talking. You might be surprised how quickly you forget you’re not chatting with a real squirrel.