Posting consistently is the part of social media most businesses fail at. Not because they lack ideas, but because writing, designing, scheduling and replying every day takes hours. AI can take most of that work. The trick is knowing which parts.
Good tasks for AI
- Content calendar: turning your products, offers and events into a weekly plan.
- First drafts: captions in your brand voice, in several lengths, for each platform.
- Visual variations: images and short videos generated or resized for each format.
- Timing: learning from your own past posts when your audience is active.
- Routine replies: answering "price?", "available?", "where are you located?" from your own information.
- Reporting: a weekly summary of reach, engagement and best-performing posts.
Keep these human
- Brand direction and campaigns. AI is good at variations, not at deciding what your brand stands for.
- Complaints and sensitive topics. A bad automated reply can go viral for the wrong reasons.
- Anything involving money, promises or legal claims.
- Final approval until you trust the system.
The approval flow that works
The best setup I have found is one-tap approval on your phone. The agent prepares the week's posts and sends them to Telegram or email with Approve / Edit / Skip buttons. Each type of action can be set to:
- Full auto: for example, liking positive comments or answering store hours.
- Ask first: new posts, replies that mention prices.
- Never: complaints go straight to a person.
You can loosen the settings over time as the agent proves itself.
Bring your own AI
Model choice matters less than people think, and it changes every few months. I design social media agents so you can connect your own ChatGPT, Claude or Gemini account, or use the one the platform provides. Protocols like MCP (Model Context Protocol) make it easier to swap models and connect tools without rewriting the product.
Mistakes to avoid
- Posting generic AI text. Feed the agent your real products, prices, photos and past best posts.
- Ignoring platform rules. Each network has limits on automation and API use; build within them.
- No human in the loop at the start. Begin with approvals for everything.
- Measuring volume instead of results. Ten good posts beat fifty bland ones.
What I am building
I am developing a social media agent SaaS that analyzes a page, writes posts, creates images and videos, picks posting times and replies to comments, with Telegram or email approval for each action. If you want early access, or a custom version for your business, get in touch.