Inbox triage every morning
Each day it sorts, flags the urgent, and drafts replies you approve in one click.
An AI agent understands a goal, builds a plan, and acts with the right tools - then keeps running in the background. It's not a chat you have to drive, it's a teammate that moves work forward on its own.
A chatbot answers, then stops. An agent loops: understand, decide, act, verify - and repeats until the result is real, not promised.
It grasps the intent behind the ask - not just the next word to write.
It splits the goal into steps, picks the right tools for each, and decides where to start.
It acts: writes, sends, opens, calls. Real actions, not suggestions.
It watches the result, learns from feedback, and re-runs the loop until "actually done".
Each day it sorts, flags the urgent, and drafts replies you approve in one click.
It reads your tickets and calendar, then posts the standup for you in the team channel.
Every week it scans sites and pricing, and drops a one-line update in your inbox.
A raw transcript in; summary, decisions and assigned actions out.
Spec in, merged PR out: code, tests, review, replies to comments included.
It replies to confident tickets, and escalates the rest with full context.
It runs the A/Bs, reads cohorts, pauses losers and scales winners.
Researches accounts, drafts, follows up, and books the meetings in your calendar.
One answers. The other ships.
Ads, CRM, support, drive, internal tools. Upchat plugs into 3,000+ tools out of the box, and if the one you need isn't there yet, it finds the documentation, writes its own connector, and connects itself with the API key or credentials you give it.
3,000+ integrations
This is just a preview, Upchat connects to 3,000+ tools
Straight answers - no hype, no fake case studies. Upchat is in early access.
An AI agent is software that can pursue a goal over multiple steps: it plans, calls tools (email, CRM, code, ads…), checks results, and continues until the job is done or it needs your approval. Unlike a single chat reply, it owns an outcome.
ChatGPT and most chatbots answer in the moment and stop. An agent keeps working across tools and time - with memory of its missions, permissions you define, and a loop that can run while you are away. You still supervise high-impact actions.
With the connectors you approve, it can read and update systems you already use - GitHub, Linear, Gmail, HubSpot, Zendesk, Google Ads, Notion, Stripe, and more. Scope is deliberate: only the tools and actions you connect.
Yes. You can kick off a mission on demand, leave an agent monitoring a queue or inbox, or schedule recurring work (daily digests, weekly reports, nightly checks). Background work stays auditable.
You describe the mission in plain language and set guardrails. The agent proposes a plan; you refine it. No diagram spaghetti required - though power users can still be precise about tools and approval rules.
Zapier and Make excel at fixed if-this-then-that flows. Agents handle messy, multi-step goals where the path is not fully known in advance - triage, research, drafting, verification - then call the same kinds of apps when needed.
Yes. Get early access to get invited as we open capacity. Features, connectors, and pricing will evolve with early teams; we do not invent customer counts or case studies.
That is core to the product vision: agents with shared missions, memory, and tool access so teammates collaborate with the same digital colleague - not a private chat buried in one person’s history.
Describe the goal. The agent handles the rest. Be among the first to build yours.