Agentic AI for
AI companies.
Agentic AI for AI companies: AI agents for market research, lead qualification, release communication and user feedback, with founders and leads approving the output.
Agentic AI gives an AI company a set of agents that handle the work around the product: tracking the market, qualifying sign-ups, drafting release communication and sorting user feedback. Each agent has one job and clear limits, and a person approves anything that leaves the company.
Each agent has
one job.
Narrow agents with clear limits are more reliable than one agent asked to do everything.
- Agent
Research agent
Tracks competitor launches, pricing and papers and reports what changed.
- Agent
Qualification agent
Reviews new sign-ups, researches the company and ranks who to contact.
- Agent
Release agent
Turns merged changes into draft release notes, docs updates and posts.
- Agent
Feedback agent
Groups user feedback into themes and links each one to examples.
Release day,
run by agents.
An illustrative design. Yours is built around the processes your team already runs.
Trigger
A release is tagged
- 01
The release agent reads the merged changes and drafts the release notes.
- 02
It lists the documentation pages the release affects and drafts the edits.
- 03
It prepares a short announcement for each channel.
- 04
The product lead reviews, edits and publishes.
Agents prepare.
People decide.
These checkpoints are designed first, before any agent is built.
- Public posts and release notes are approved by a named owner.
- Outreach to prospects is sent by a person.
- Product priorities are set by the team, not by an agent.
Agentic AI for AI companies,
answered.
Why would an AI company need help with agents?
Building a product and running internal agents are different jobs. We set up and maintain the agents so your engineers stay on the roadmap.
Can the agents use our own model?
Yes, where it fits the task. We pick the model for each agent on quality, cost and privacy.
How do we stop an agent publishing something wrong?
Agents draft; people publish. The approval steps are designed before any agent is built.
- Marketing for AI companiesPositioning, launches, PR, growth and social for a category buyers are still learning.
- AI automation for AI companiesSupport triage, documentation upkeep, sales follow-up and usage reporting, run on fixed steps.
- Agentic AI for AI companiesAgents for market research, lead qualification, release notes and user feedback.
Agentic AI for
other teams.
Have a problem worth solving?
Send us a note or an email. We will keep the first conversation practical.