On-brand posts flow
Posts that match the client's voice, claims, and topic rules publish on schedule. No bottleneck, no babysitting.
For Content & Social Agencies
Your agents draft, schedule, and publish for clients. GaaS is the approval workflow that runs without you: on-brand posts flow, risky ones wait for a yes, and off-limits ones never go out.
GaaS gives content and social agencies an enforced AI content approval workflow: every agent-written post is checked against your brand and claims rules before publishing — allowed, fixed, held for human approval, or blocked, with a receipt for every decision.
| Time | Agent | Action | Verdict | Latency |
|---|---|---|---|---|
| 09:41:02 | content-agent | post_to_social → client_x_instagram | APPROVE | 18ms |
| 09:41:00 | social-agent | schedule_post → client_y_linkedin | APPROVE | 24ms |
| 09:40:56 | content-agent | post_to_social → promo_20_off | ESCALATE | 51.5s |
| 09:40:54 | brand-agent | publish_post → wellness_claim | BLOCK | 20ms |
| 09:40:50 | content-agent | post_to_social → giveaway_post | MODIFY | 32ms |
| 09:40:48 | social-agent | reply_comment → client_y_thread | APPROVE | 34ms |
| 09:40:44 | brand-agent | post_to_social → competitor_mention | BLOCK | 36ms |
| 09:40:42 | content-agent | schedule_post → client_x_tiktok | APPROVE | 20ms |
Simulated feed. Actual decisions include full audit records with hash-chain verification.
The Fear
Your agents are good. They draft in seconds, keep the calendar full, and never miss a slot. But you've had the 7 a.m. thought every agency owner running agents has: what if it publishes something off-brand? A claim that isn't true? A joke the client would never make?
The post goes out under the client's name. The screenshot lives forever. And the only thing that stood between the draft and the feed was the prompt you wrote three weeks ago. Hope is not an approval workflow.
The Move
GaaS sits between your agents and the publish button. Before anything goes live, it's checked against the rules you set for each client:
Posts that match the client's voice, claims, and topic rules publish on schedule. No bottleneck, no babysitting.
A post that just needs a required disclosure or a softened claim is approved with that fix applied — it publishes corrected, no round-trip to a human.
Anything that touches pricing, promotions, or a sensitive topic is held for a human yes before it goes anywhere.
False claims, off-limits topics, and competitor mentions are stopped cold — with a record of what was caught and why.
Every decision becomes a receipt you can show the client: proof their brand rules ran on every single post, every single time.
Your Rules, In Your Words
No rule syntax, no config files. The conversational dashboard is powered by Claude — describe what you want, per client, and the policy exists:
"Hold anything that mentions pricing or discounts for my approval."
"Never publish health or medical claims for any client."
"Client X's voice is playful, never political. Client Y never mentions competitors."
The Low-Friction Win
A developer wires the SDK in an afternoon — Python, TypeScript or Java, with plugins for LangChain, OpenAI Agents, CrewAI, Pydantic AI, Vercel AI, Microsoft Agent Framework, and MCP.
For the first week, GaaS just watches: it shows you exactly which posts it would have held or blocked, while changing nothing.
When the would-have-blocked list looks right, flip to live. From then on, the line holds whether you're at your desk or asleep.
Pricing
Start free in Shadow Mode, no credit card. There is a free tier, plans from $99 a month, and less than a cent per governed action at scale — a rounding error against one brand-damage cleanup. Nonprofits, NGOs, and veteran-owned businesses govern free for life.
FAQ
Yes. Every post an agent produces is evaluated against your brand voice, claims, and topic rules before it publishes. On-policy posts flow through in well under a tenth of a second; borderline posts are held in a queue for a human yes; posts that break a rule are blocked and never go out — and the block itself is recorded, so you can show the client exactly what was caught.
An external layer that checks what your AI agents are about to do and allows, fixes, holds, or blocks it against your rules, keeping a tamper-evident record of every decision.
No. GaaS is for any operator running agents. Regulated teams get framework mappings; everyone else gets control over what their agents do.
No. Start in Shadow Mode with just an email; it runs the full pipeline on real actions without enforcing anything, so there is zero operational risk. A developer wires the SDK in an afternoon, and you author policies in plain language.
Start free in Shadow Mode, no card. There is a free tier, then plans from $99 a month, and under a cent per governed action at scale. Nonprofits, NGOs, and veteran-owned businesses govern free for life. See pricing.
Routine actions clear in well under a tenth of a second. Only high-stakes decisions take longer, and only because you asked them to.
No. GaaS sits outside the agent and needs no model changes and no cooperation from the agent to work.
The opposite. A self-governing agent spends about 14,700 tokens of context on every routine governed action; with GaaS it spends 0 through a framework plugin (74 when an action is blocked), or about 2,470 through MCP. On a 200K-token model, self-governance fills 30% of the window after about 14 governed actions and 60% after about 28. See The Context Dividend.
Prompt guardrails live inside the model, get re-read on every call, and can be argued away. GaaS is external and enforced; the agent cannot talk it out of a block.
Start free in Shadow Mode — see exactly which of last week's posts would have been held or blocked, without changing a thing. No credit card, wired in an afternoon.
Not an agency? Find your door at GaaS for AI Operators.