Will the AI just produce slop?

If we plug a generic ChatGPT prompt into your brand, yes, that's exactly what would happen. The whole point of this service is the voice training week. You send us 20–30 of your past best posts. We turn those into a detailed voice + topic + format brief. The first batch of drafts feels 70% like you. Three rounds of tuning over week one and you're at 90%. The remaining 10% is human edit time, which is the point: you're still the author, you're just not doing the staring-at-blinking-cursor part.

Does this replace my content person?

Not usually. Most clients keep their content person and the engine produces 2–3x what they used to. The role shifts from drafting to editing, planning, and shooting (especially photo + video where humans still beat AI hands-down). For solo operators with no content person, it can be enough on its own, but you still need to be willing to edit drafts for ~30 minutes a week.

What about images and video?

Caption and body copy is rock-solid. We use Midjourney or Imagen prompts for stock-style images. For actual product photography or short-form video, human work is still better and that doesn't change in 2026. We deliberately don't generate generic AI imagery to fill posts, that's a fast way to look cheap. If you're a Shopify brand, your product photos are your bread and butter.

Can it write in our internal language? We've got specific terms we use.

Yes. Voice training captures all of that, terms you use, terms you avoid, your editorial pet peeves. The agent's [system prompt](/glossary/system-prompt/) gets updated whenever you flag something. By month two it knows you don't say 'utilise' when you mean 'use', or that you spell colour with a u, or that you never use exclamation marks. (Those are the boring examples. The interesting ones are usually industry-specific.)

Will it post automatically?

Both modes available. Default is draft-to-approval: weekly drafts land in your shared Notion or inbox, you approve, they auto-schedule to Buffer or Later. If you trust the agent after a month, you can move evergreen content (e.g. blog reposts) to auto-publish. Most clients leave the brand-voice channels (Instagram, LinkedIn) on manual approval forever. That's fine.

How does the performance feedback loop work?

Every Monday morning the agent reads the past week's post performance (reach, saves, comments, link clicks for blog) and updates its internal sense of what's working. The next week's drafts skew towards the formats and topics performing best. It's not magic, over 8–12 weeks it produces meaningfully better-performing content because it stops drafting things you wouldn't have approved anyway.

Will this work for B2B?

Particularly well, actually. LinkedIn is the cleanest channel for AI-drafted content because the format is text-heavy + thoughtful + personal. We've shipped this for B2B consultants and SaaS founders who use it as their daily LinkedIn engine. The voice training is even more important in B2B than in DTC.

AI Content Engine, social + blog drafting + scheduling in your voice, Autopilot

In short

AI Content Engine is a productised service that drafts your social posts and blog content in your brand voice, schedules them across Instagram, LinkedIn, Facebook and your blog, and learns from what performs. $1,500 AUD to set up, $499 AUD/month to run, live in 10–14 working days. You stay the author, the agent handles the volume.

The honest pitch

Almost every Australian small business says the same thing about content: “we know we should post more, we have ideas, we just don’t have the time.”

The instinct is to hire a content person. That solves it, but it’s expensive, a junior content marketer in Australia is $65–85k base, plus super, plus they need someone with brand context to brief them. So most businesses go the other way: they download a “free 30-day Instagram template”, manage 4 days, then quietly stop.

AI Content Engine is the third option. You keep authorship, you say no to drafts you don’t like, you edit the ones you do, you ship them, but the staring-at-the-blinking-cursor part stops being your problem.

What it actually produces, weekly

For a typical Shopify brand client:

3 Instagram captions with hook + body + 2 hashtag set options
2 LinkedIn posts (founder voice or brand voice, your choice)
2 Facebook adaptations of the IG posts (different copy, same theme)
1 blog draft of ~800–1,200 words on a brief you approved earlier in the week
1 newsletter snippet if you run a newsletter

That’s 9 pieces of content. Drafted Monday morning, in your inbox or Notion, ready to be edited. Two of those will be perfect. Two will get a heavy edit. Five will sail through with light edits. That’s about 90 minutes of your time vs the 8 hours it would take to draft from scratch.

How the voice training works

This is the make-or-break week. We do it in three passes:

Pass 1 (Day 1–2), you send us 20–30 of your past best posts across formats. We extract the voice into a structured brief: tone register, sentence rhythm, formality, vocabulary preferences, humour level, opening hooks you tend to use, closes you tend to use, things you would never say.

Pass 2 (Day 3–5), we feed that into the agent’s system prompt and generate a sample batch of 10 posts on test briefs. You mark them ✓ / × / “close but needs X”. We update the prompt.

Pass 3 (Day 6–10), second batch of 10 posts. By this point we’re at ~85–90% of your voice. The remaining 10% is small, specific things that emerge over months, and we keep tuning as you flag them.

What’s in the $499 AUD/month

API costs, significant. Content generation chews more tokens than triage agents. A 9-piece weekly batch costs us about $8 in API spend. We absorb that.
Scheduling integration, Buffer / Later / Metricool license is yours; our integration with their API is included.
Performance feedback loop, we read your post analytics each week and update the agent’s sense of what’s working.
Monthly performance digest, what’s hitting, what isn’t, what to try next month.
Voice tuning, ongoing. When you flag a draft that’s off-tone, we update the prompt.

What it won’t do well

In the interest of not lying:

Photography + video. Generic AI imagery looks cheap on a brand account. Use your actual product shots, your own behind-the-scenes content, your team’s faces. Image generation is fine for blog illustration, abstract concepts, stock-style needs.
Anything that needs a hot take on news you haven’t briefed it on. It reads what you give it; it doesn’t surf the news.
Replacing a designer’s eye on Reels and TikTok captions. Video-first formats need a human shaping the hook against the cut.

For everything else, captions, body copy, blog drafts, newsletter writing, LinkedIn, it’s good.

Best for

DTC + Shopify brands shipping 5+ posts a week.
B2B services where LinkedIn is the funnel top.
Coaches, consultants and personal brands posting daily.
Agencies that produce content for themselves but ironically don’t (we’ve shipped this to two).

If you post less than 3 times a week and have no plan to post more, the Quick Start build at $497 will set up a smaller automation that fits better.

Pricing in plain English

$1,500 AUD setup, one-off, voice training, content brief, integration, first batch tuning.
$499 AUD/month, ongoing, drafts every week, scheduling integration, performance digest, voice tuning. Cancel any time.

GST added at invoicing. No lock-in.

AI Content Engine, social + blog drafting + scheduling in your voice