Every agent is a hire — built on a model-agnostic harness that keeps them sharp as the underlying models evolve. You focus on your business. We make sure the agents stay 10× productive.
Disro agents are managed specialists, trained on proven workflows, updated with the latest capabilities, and grounded in your Cortex memory.
Reads CPA, CTR, and audience fatigue across every account. Drafts new creative, pauses what isn't working, ships variants with your approval.
Generates hooks, scripts, and static creative at the velocity your clients need. Learns each brand's voice from your asset library.
Writes briefs, refreshes pages, builds internal linking, and tracks AI visibility per client — weekly.
Owns email and SMS for every client account. Detects flow gaps and ships the missing messages with brand-specific tone.
Builds the QBR deck, the weekly retainer update, and the executive summary — grounded in real numbers, formatted to your template.
Triages inbound from each client — questions, change requests, status pings. Drafts replies, routes the rest to your team.
Competitive scans, audience research, pattern discovery across the portfolio. Feeds insights back into the loop library.
Reviews every output before it ships — brand voice, factual accuracy, alignment with the playbook. Your last line of defense.
Building agents is one thing. Keeping them productive when models, prices, and APIs change every week is another. We do that part.
Each agent is built against a model interface, not a specific model. We swap engines as better ones ship — without you re-deploying anything.
Reasoning-heavy turns route to frontier. Drafting and triage to cheap models. Each agent maximizes output per dollar.
No infra, no prompt-ops, no model migrations. We host, monitor, and upgrade every agent in your stack.
As frontier AI models evolve, your agents evolve with them automatically — without additional work from your team.
Every agent reads from and writes to Cortex — your shared agency intelligence. They start informed about every client and get sharper over time.
Agents propose. You approve. They ship. Approvals batch into a daily review in Slack — five minutes, not five hours.
Most agent tasks aren't reasoning-heavy. Drafting a status update, classifying a ticket, building a slide — these don't need the most expensive model in the world. We route every turn to the cheapest model that maintains quality.
Routed to Claude Opus 4.7, GPT 5.5, or Gemini 2.5 Pro depending on the work.
Cross-client pattern discovery and full-portfolio audits go to Gemini for the context window.
Drafts, classifications, status updates go to Llama or a fine-tuned small model.
