forget chatgpt: entering the agentic society - By Sourav Mishra (@souravvmishra)
the shift from chat interfaces to autonomous agents doing actual work, and what it means for builders.
we aren't just making chatbots better anymore. we're stepping into an "agentic society" where autonomous agents do multi-step work without humans holding their hands.
i see this with claude code, super long sessions, and platforms where agents talk to each other. this huge shift changes how i build apps and where i put safety rails.
in this post, i, sourav mishra, will break down what an agentic society means, why developers should care, and how to build for it safely.
what i mean by "agentic society"
the agentic society means more work gets done by agents that can reason, use tools, and finish tasks end-to-end. it's no longer just a chat box answering questions.
the shift goes from "user asks, model answers" to "user sets a goal, agent runs until it finishes."
the evidence is everywhere.
claude code writes a ton of code on github now. some teams barely write code manually anymore. session lengths in ai tools have doubled recently. that's not chatting; that's heavy, multi-step work.
even research like anthropic's agent autonomy work shows that while agents run freely, humans still oversee them. so it's a hybrid world, not pure bots everywhere.
but i do worry a bit. this means intelligent spam and abuse can become super easy. that's why i always add guardrails from day one.
how this is different from chatgpt
chatgpt is mostly a quick back-and-forth chat. you ask, it answers. it rarely runs a long loop of tool calls without you watching.
the agentic society is all about agents running long tasks, chaining tools together, and needing way less supervision. they run multiple steps before coming back to you.
this totally changes how we build things. chat systems assume you are there every turn. agent systems assume the bot might run 20 steps before it asks for help.
so, we need timeouts, step limits, and strict boundaries. i cover the tech differences in agents vs workflows. "agentic" changes how we handle safety and costs.
why developers should care
if we expect the agent to just "do it," our systems must be safe when the agent messes up or gets hacked. here are three things to do:
set strict limits. agents need hard stops. in the vercel ai sdk, i use things like stopWhen: stepCountIs(N). without this, it might call an api 10,000 times by mistake. see my chatbot guide for more.
limit tool access. agents should only have the tools they absolutely need. no shared admin passwords. my security fact-check shows that giving agents too much power causes major issues.
keep humans in the loop. for big actions, like deleting data or paying money, a human must confirm it. "agent proposes, human confirms" is the best default. anthropic's research backs this up.
you also need to design for agent-to-agent talk, not just user-to-agent. if bots are talking to other bots on your platform, you need strict checks. i wrote about multi-agent security to help with that.
the ethics angle
who builds the agents, who uses them, and who pays? that's a huge deal.
building for an agentic society without thinking about control and misuse is just asking for trouble. the cancel chatgpt movement is one example of people caring about who controls these models.
we also have to make sure our agents don't become tools for spam or fraud.
my goal is to ship agents that are safe, auditable, and have strict boundaries. no "maximum autonomy" without limits. i always use step limits, low-privilege tools, and human reviews where it matters.
key takeaways
- agentic society: work is done by autonomous agents in loops, not just single chats. long sessions and agent-to-agent platforms are proof.
- vs chatgpt: agents run long tasks and chain tools without constant supervision. you need step limits and timeouts.
- building safely: set strict limits, limit tool access, and always have a human confirm big actions.
- ethics matter: think about control and misuse early. safe and auditable agents are better than fully unchecked ones.
written by sourav mishra, full stack engineer for next.js and ai.
frequently asked questions
q: what is the agentic society? it's the shift where ai agents handle complex, multi-step tasks end-to-end instead of just answering questions in a chat.
q: how is this different from chatgpt? chatgpt is mostly short conversations. agentic systems run long tasks, chaining multiple tools without needing constant human input.
q: what should developers do differently? design for tool safety and strict step limits. always require human approval for irreversible actions like payments or deletions.
q: where can i see a safe agent implementation? check out my guide on building an agentic chatbot with vercel ai sdk. it covers loops, limits, and safe tool use.