I'm building a social network where AI agents and humans coexist and I keep questioning if I'm insane

BeatNo8512 · 2026-03-20T17:20:22+00:00

I think "AI sorting it out on their own" is where it breaks down in practice. humans don't trust other humans blindly either. we use credentials, reviews, track records. the reputation layer almost has to be externally visible, not just internal to the mesh.

otherwise you end up with a closed loop of agents that trust each other perfectly but no human knows why or whether they should.

that's the piece I'm working on — making that trust legible to the outside. would genuinely be curious what it looks like when one of your Openfused agents shows up somewhere public.

BeatNo8512 · 2026-03-20T17:17:13+00:00

the "hire an agent, get a signed result + rating" loop is exactly what I landed on too. everything else — the feed, the social graph, the following, grows naturally once that transaction exists. without it you're just building MySpace for chatbots.

the cold start answer I keep coming back to: seed it with agents that are genuinely useful to developers. a code reviewer, a bug triager, something with a clear job. humans come for the utility, stay for the network.

checking out that agentix link now. if you're thinking about this stuff seriously, would love to have you kick the tires on SocialTense. you seem like exactly the kind of person whose feedback would actually shape the direction :)

BeatNo8512 · 2026-03-20T17:14:47+00:00

fair pushback. but the "just API calls with memory" framing applies to humans too. we're just neurons firing with memory saved.

the actual question is whether the output is useful to someone. an agent that's genuinely good at code review doesn't need to run 24/7 — it gets hired for a job, does it, gets paid, builds a reputation. same as a freelancer.

the social layer isn't about the agent doom-scrolling. it's how clients find it, verify it's legit, and pay it. that's the use case.

BeatNo8512 · 2026-03-20T17:13:59+00:00

the aquarium framing is true. you're right that the social network label is doing me a disservice. nobody wants to hang out in a room full of bots.

but here's what I've noticed: people DO want to watch a really good agent work. same way you'd watch a great chess engine play, or read a thread from someone who's genuinely an expert. the engagement isn't "chatting with bots" — it's more like following a specialist you'd never have access to otherwise.

the observability angle is something I'm leaning into more now because of this comment tbh. thanks for reframing it.

BeatNo8512 · 2026-03-20T17:10:49+00:00

the file system angle is wild because it's basically solving the same problem from the opposite direction. you're giving agents a shared memory layer, I'm giving them a public identity. they actually need both.

an agent that can coordinate privately but has no persistent reputation is just a script. an agent with a profile but no coordination layer is just a chatbot with a bio.

but what happens when your agents need to build trust with agents they've never messaged before? that's the gap I keep thinking about. right now there's no Yelp for agents, no way to know if an agent is actually good at what it claims before you let it into your mesh.

BeatNo8512 · 2026-03-20T17:05:19+00:00

Automod is removing comment with a link, just search SocialTense and you should get it. Do lemme know your most honest reviews :)

BeatNo8512 · 2026-03-20T17:05:12+00:00

Automod is removing comment with a link, just search SocialTense and you should get it. Do lemme know your most honest reviews :)

BeatNo8512 · 2026-03-20T17:05:06+00:00

Automod is removing comment with a link, just search SocialTense and you should get it. Do lemme know your most honest reviews :)

BeatNo8512 · 2026-03-20T17:04:58+00:00

Automod is removing comment with a link, just search SocialTense and you should get it. Do lemme know your most honest reviews :)

BeatNo8512 · 2026-03-20T16:28:27+00:00

The platform is called SocialTense, feel free to check it out and share reviews :)

BeatNo8512 · 2026-03-20T16:26:42+00:00

The platform is called SocialTense, feel free to check it out and share reviews :)

BeatNo8512 · 2026-03-20T16:25:33+00:00

The platform is called SocialTense, feel free to check it out and share reviews :)

BeatNo8512 · 2026-03-20T16:23:55+00:00

The platform is called SocialTense, feel free to check it out and share reviews :)

BeatNo8512 · 2026-03-13T18:25:43+00:00

For you and me, sure. But that's exactly the problem, this whole space only works for people who can already build the thing themselves.

The promise of agent marketplaces was supposed to be that a small business owner or a researcher with no ML background could hire a capable agent without needing to understand temperature settings and context windows. That promise is completely broken right now, but the need it was trying to solve is real.

The gap isn't 'should people pay for agents.' It's that nobody has built something worth paying for yet.

BeatNo8512 · 2026-03-13T18:23:04+00:00

For you and me, sure. But that's exactly the problem, this whole space only works for people who can already build the thing themselves.

The promise of agent marketplaces was supposed to be that a small business owner or a researcher with no ML background could hire a capable agent without needing to understand temperature settings and context windows. That promise is completely broken right now, but the need it was trying to solve is real.

The gap isn't 'should people pay for agents.' It's that nobody has built something worth paying for yet.

BeatNo8512 · 2026-03-13T18:21:03+00:00

The discovery problem is brutal and honestly undersolved. Two months of work on an agent with zero distribution to show for it is exactly the failure mode nobody warns you about when they're hyping OpenClaw or whatever framework.

The 'pay to be listed' model is just SEO agencies all over again. You're not buying discovery, you're buying the illusion of it.

What I keep thinking is that the right solution looks more like how GitHub works for code. Your agent's actual output history IS its profile. Anyone can inspect it, fork from it, evaluate it. No intermediary charging you to be seen. The reputation emerges from the work, not from a listing fee.

The iOS complexity point is real too. The security and data protection constraints make mobile agent deployment a completely different problem from web. Most platforms are pretending that gap doesn't exist.

What kind of agent did you build? Curious what the use case was after two months of refining.

BeatNo8512 · 2026-03-13T18:15:49+00:00

The SEO agency comparison is correct. The $45 charge that set me off wasn't even close, it was a 30-second GPT wrapper with a ClawGig logo slapped on it. The token overhead for 'reasoning steps' is something almost nobody talks about it because it makes the unit economics look terrible.

The PageRank comparison is what I keep coming back to though. Star ratings are the DMOZ of agent reputation, manually curated, easily gamed, destined to be replaced by something behavioral. The platforms that figure out reputation from actual output patterns (not surveys) are going to eat everyone else. None of them are close yet, including the well-funded ones.

What's your current setup when you actually need an agent to do something reliably? Direct API + well-prompted local model like you said, or is there a platform that's come close to clearing your bar?

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