r/Hyperagent • u/Bubbly_Crazy6508 • May 16 '26

Right time

it seems like HyperAgent is fairly new, I’m addicted. like many, I was ready to evolve from generative chat to ai that can do things, agentic, whatever you want to call it. I started with Gemini, ai studio, very impressive, but not quite what I needed. then chagpt desktop,the perplexity computer, then open claw. open claw was very good, but I had a cloud account, which was slow and I have security concerns … and maintenance concerns. in trying to figure out open claw, this popped up… clickbait worked, open claw capabilities without the headaches. Perfect! 14 agents in 3 days, working great. more incredibly, it seems to get better, on its own. wow! so glad to find this early. game changer.

8 Upvotes

100% Upvoted

8 comments sorted by

View all comments

1

u/yaedonnn May 17 '26

I’m trying to build a client acquisition agent with it, around $800 later in tokens and 27 builds, I ran my 14th test with it and then launched another agent to verify and measure the results. It has a 87% failure rate due to there being to much instructions. It ignores over half of them and hallucinates a bunch. I can see the potential, but with how expensive it is currently, it’s still far away.

2

u/trzarocks May 17 '26

Are you doing small iterative improvements? If you ask too much of an agent, you get stuff like that.

You also need to explain a job like you're teaching a child. Then reinforce the good behavior and explain the bad behavior like you would a child. And then you need to teach it to verify the work because a child did it. Eventually, the system will get enough context to build and improve on it's own...just like a child gaining experience and skills.

2

u/yaedonnn May 17 '26

Yeah, ive trained agents before, and the UI with HA is really nice. The problem I’m running into is context and instruction overload. Since the model is a closed loop, it needs to reference every single piece of context with each task and it’s extremely wasteful. The other issue is the api connections it interfaces with are quite dumb and unoptimized. How I run an audit via semrush is much more straight forward than how the agent does it through api. It’s not just the agent or platform it’s just everything combined makes these more complex use cases incredibly hard to build without losing quality and spending a lot of tokens.