My product isn't a tool you use — it's an employee you hire. Here's what building that taught me.
I'm Gail, solo founder of TheAgencyIQ, an autonomous social media agent for small businesses out of Brisbane, Australia. I want to share the one decision that shaped everything: my product has to run its own marketing, on the record, using the exact same pipeline every customer gets.
What it is: Qy is an AI agent that plans, writes, generates images/video for, schedules, and publishes social content across Facebook, Instagram, LinkedIn, YouTube, and X — without a human in the loop unless you want one. Not a "drafts for you to approve" tool (though that mode exists). It publishes on schedule, reads its own engagement data, and feeds that back into the next batch through a 30-day closed learning loop.
The part indie hackers might find interesting: the agent doesn't just learn from your results. It also ingests external platform signals — including diffs from X's open-sourced the-algorithm repo — so predictions about what the platform currently rewards are grounded in real signals, not vibes. There's a hard anti-fabrication gate: if there's no real signal data, the predictor writes nothing rather than making something up. Getting an autonomous system to say "I don't know" was harder than getting it to generate content.
The honesty mechanism: TheAgencyIQ is itself a brand inside the system, with no special-casing — same contracts, same quotas, same pipeline as every paying customer. If the agent produces slop, it produces slop on my accounts first, publicly. That constraint has caught more quality problems than any test suite.
What I've learned building an autonomous publisher as a solo founder:
Autonomy is a trust problem, not a capability problem. The hard engineering isn't generation — it's invariants: single write authority on every field, state machines for post lifecycle, and "verify outcomes, never intentions" (a publish claim needs a published_at row, not a log line saying it tried).
Every incident becomes a permanent control. We keep an append-only memory of every production failure and the guardrail it produced. The system literally cannot re-ship a class of bug that already burned us once.
Dogfooding in public is the cheapest QA you'll ever get.
Business bits, since IH likes numbers: paid plans start at A$99/mo (30 text + 10 image posts, one brand), up through agency tiers with pooled multi-brand quotas. There's a free demo that generates sample posts from your website so you can judge the output quality before giving us anything.
If you're a founder who knows you should be posting consistently but it's the first thing that dies when you're busy shipping — that's exactly who this is for: https://app.theagencyiq.ai
Happy to answer anything about building autonomous agents that are allowed to act without approval — the guardrail architecture, the failures, the works. The failures are the better stories.
