Agent Agency
Overview
Agent Agency is the system we use to automate our own agency's workflows with AI — and the clearest demonstration of how we approach AI automation for clients. It is not a chatbot and not a pile of prompts: it is a complete operating system in which AI agents execute multi-stage work inside deterministic, durable workflows, every output is checked by validators before it counts, and a human approves anything irreversible.
The first specialist, a blog-content agent, runs a 14-stage pipeline from opportunity qualification through research, drafting, and evaluation to publication — and after one week of cost engineering it produces an evaluated, sourced article for around $0.37 in model spend. Every run records what each stage cost, which models served which role, and why every decision was made.
Project Details
- Client
- Niro Digital Internal System
- Industry
- AI Automation / Agency Operations
- Service
- AI Workflow Automation
- Year
- 2026
Services
The control plane: every agent run with its stage, status, elapsed time, and exact cost — runs that need a human are flagged for attention
Agent output is a claim. Verification and external evidence decide whether work is complete — not the model's own opinion of itself.
Durable Workflows, Not Chat Sessions
High-level process is deterministic code; models get autonomy only inside bounded stages. The blog agent moves through 14 stages — qualify the opportunity, plan the contribution, research with grounded sources, build an evidence packet, outline, draft, evaluate, revise — and cannot skip evaluation or publish before approval.
Every run pins the exact versions of the harness, prompts, model policy, and client configuration it executed with, so results stay reproducible, comparable, and reversible. Each stage records its own cost: the run shown here produced a 3,046-word sourced article for $0.37 across 24 model calls.
What Makes It Reliable
Human-in-the-Loop by Design
Autonomy is granted per action, not globally. Publishing an article, merging code, or raising an ad budget each carry their own policy, and anything high-risk waits for a person.
The discipline is real: the first article to reach the approval gate passed the automated evaluation — and the human editor still rejected it, rewrote it, and published their own version. That is the system working as designed: the gate's job was to decide the draft was worth a human's time, and the human's job was the final call.
Why This Matters for Your Business
Agent Agency is the engine behind our AI automation service. The same method we used on ourselves — investigate the workflow, split judgment from repetition, give AI the repetition inside guardrails, keep humans on the decisions — is what we apply to client processes.
We run this system in production for our own operations first, which means every recommendation we make about AI automation is backed by scars, run records, and real cost data — not by a demo.
Want workflows like this in your company?
Show us a process that eats your team's hours. We will map it, tell you honestly which parts AI can take over, and build the automation with verification and approval built in.
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