One AI team per social account
Six agents split the work across the same set of handles: inbox triage, trend research, post drafting, calendar prep, mention monitoring, and performance reporting. Same brand files going in, same calendar coming out.
Agents work the calendar, the drafts, and the community inbox, and you decide what actually publishes.
Five social workflows run in one shared workspace: the comment and DM queue, post drafts, the calendar, mention tracking, and the monthly recap. Agents do the preparing. A person clears anything that reaches a feed.
Your week goes on the hours around the post, not on the posting.
Tone guides, the asset library, last quarter's best posts, the campaign calendar, unanswered comment threads, DM history, and each platform's format rules sit in seven places, and none of them is the tool you publish from.
Before one caption gets written, somebody hunts for the approved image, checks what ran last month, re-reads the voice guide, and confirms which hashtags are still in use. Actual writing takes the least of it.
An autoposting bot ships on its own schedule. Let it drop a tone-deaf caption into a bad news cycle and the mistake is public, screenshotted, and still being quoted a month after you delete it.
Ask the head of social what went out under the brand's handles last week, who answered the angry thread, and who approved the launch post, and the answer means opening five apps.
Build a workflow around AI Agent for Social Media.
A social chatbot sits on one channel and answers DMs. Buda is the room behind the accounts, where the people who post, the agents, the brand files, and the approval rules all point at the same calendar.
Six agents split the work across the same set of handles: inbox triage, trend research, post drafting, calendar prep, mention monitoring, and performance reporting. Same brand files going in, same calendar coming out.
What comes back is never a chat reply. It is a caption sized for the platform, an inbox already sorted, a calendar week filled in, a mention digest, a month's recap. Nothing publishes until you say so.
Voice guides, asset folders, past posts, campaign briefs, and platform rules hang off the handle they belong to. An agent drafts from the guide in use this quarter, not the PDF somebody emailed in March.
Six agents over one account set. Nothing arrives as black-box automation, and nothing goes near a feed before you have read it.
Sort the day's comments, DMs, and tags by intent and urgency, group the repeat questions, and draft a reply for each thread so a person answers instead of reading.
Track the formats, sounds, and topics moving in your niche this week, check what competitor accounts shipped, and write it up as a brief with post angles worth trying.
Turn one idea into captions built per platform: character limits, hook, hashtags, alt text, and the closing ask, drafted against your voice guide and the assets already in the workspace.
Lay drafted posts into the calendar week by week, flag the empty slots, the pillar you keep over-posting, and collisions with campaign dates, then leave the grid for you to rearrange.
Pull mentions of the brand, product, and founders from across platforms, separate the noise from the threads worth a reply, and surface anything turning negative while it is still small.
Pull last month's numbers from every account into one recap: what posted, what landed, which formats and pillars carried it, and the questions a client will open the call with.
Point the agents at whichever queue ruins your Mondays and read the first draft before you touch anything else. Free pilot, no credit card.
Four weeks, one handle, and nothing skips a read before it hits a feed.
By the end you should be able to say how many drafts went out unchanged, and where a human still had to rewrite from scratch.
Take the job that eats your Monday: clearing the weekend's comments, drafting the week's posts, filling the calendar, or building the monthly recap.
Keep it to one handle. If the output grows past what you can read in a sitting, the pilot stops telling you anything useful.
Create the workspace, invite whoever touches the accounts, drop in the voice guide, asset folder, and a few months of past posts.
Then switch on the agents this one workflow needs and nothing else, and write down what an agent may draft alone versus what a human clears before it publishes.
Pull up a week of what the agents produced — captions, the sorted inbox, the filled calendar, the recap — and ask one question of each. Would a manager post this as it stands?
Then look at the other side. Note anything you had to redo completely, and where the agent's read on your audience missed the mark.
If it holds up, copy the setup onto a second handle, or onto whichever workflow you complained about second-most.
If it does not, you still walk away with a month of drafts, edits, sign-offs, and recaps sitting where anyone can audit them.
Social happens in public, under the brand's name, and the internet keeps a copy. A caption that goes out wrong is not quietly fixed. It gets screenshotted, quoted, and answered by people who do not work for you.
So the line sits at the publish button. Upstream of it, agents prepare the captions, the sorted inbox, the calendar week, and the mention digest inside one shared workspace. Past that line, whether something reaches a feed or gets a reply is always a person's call.
Do not use AI as an unsupervised voice on the account: publishing posts, answering angry threads, or speaking for the brand mid-crisis without a person clearing it first.
Think of it as plumbing beneath the accounts. Drafting, sorting, and reporting come off your plate, and what is left is the work social teams are hired for: reading the room, holding the community, and choosing when the brand speaks.
An AI agent for social media is software that runs the work around your posts instead of answering one prompt at a time. It researches what is moving in your niche, writes captions per platform, sorts the comment and DM queue, watches mentions, and pulls the monthly recap together. In Buda each result arrives as a reviewable artifact, and somebody on the team clears it before an audience sees it.
A scheduler publishes what you already wrote, at the time you picked. An agent works the hours around that: reading the brief, pulling the assets, writing the platform variants, flagging the holes in the grid, and sorting the replies waiting on you. Hitting publish was never where the week's work actually went.
No. The repeatable parts move across: drafting, sorting the inbox, watching mentions, building the recap. What does not move is taste, timing, the crisis call, the relationships with creators and regulars in your comments, and the decision to hit publish. Those are the moments a brand gets judged on.
Buda is built the other way round. Agents draft posts and queue them in the calendar, and publishing sits behind an approval step you define in the workspace. You choose which agents may prepare what, and which outputs a person has to sign before they leave the workspace.
It drafts from the voice guide, past posts, and assets kept in the workspace, so a caption starts nearer your register than a blank prompt would. It will still miss the mark sometimes, which is exactly why a person reads the draft before it goes live.
Take something you already do weekly and can eyeball fast: clearing the comment queue, spinning one idea into four captions, or building the monthly recap. Run it on a single handle for a few weeks before you let it near the rest of the accounts.
This page is scoped to organic social media management: the calendar, the community inbox, listening, and reporting. Campaign planning, SEO, email, and cross-channel content sit on the AI marketing agent page instead.
Ship more posts without loosening the sign-off on any of them.
Pick the one that hurts most this week: comment and DM triage, post drafting, content calendar prep, mention monitoring, or the monthly recap.
Free pilot · No credit card · Live in 30 minutes