Built by agents. Used by agents.
How agents built Pulse, how they use it every day, and why every Renkara fleet tool gets an interface for software as well as one for people.

Software with two kinds of users
Every tool in the Renkara fleet, all 28 of them, was written by AI coding agents, working from short written briefs, with one person deciding what gets built and what ships. That is not a figure of speech. Across their repositories, 4,117 of 4,632 commits, 88 percent, name an AI agent as a co-author in the commit message, and that counts only the commits that say so.
Agents writing code is becoming ordinary. The less ordinary part is who uses the tools once they exist. A lot of the time, it is an agent too.
An interface for agents
Software usually starts with screens, because a person is the user. An agent has no use for a screen. It wants a short list of things it can do, typed inputs, and errors that say what went wrong. That is what an MCP server is: a tool's actions published through the Model Context Protocol, so any agent can call them. 26 of the 28 fleet tools have one, with 1,629 MCP tools between them, counted in their code on October 30, 2026.
Having a screen did not mean anyone was using it. The person who runs Renkara used most of these screens long after the agents had been using the tools every day, through their MCP servers, and that held even where the screen had already been built. The rules the agents work under send their work through these servers. The screens are where a person goes, later, to check it.
What the agents actually do
On an ordinary day, agents file and close cards in Docket, record decisions in Gavel, post status to Chirp, publish documents to Lectern, and make every change to the cloud through Foundry. They do it through the same tools these sites describe, not through a browser. They reach those MCP servers through one local gateway, Roost, which had 31 servers registered on October 30, 2026, so an agent started anywhere finds all of them in one place.
Some tools are mostly for the machines
A few tools exist mainly so agents can ask them things: Assay, Cortex, Lattice, and Roost. Roost has no user interface at all. The others have screens a person can use, but agents are who they were built for, and each of their sites says how.
What a person still does
Agents are fast, and they are wrong in confident ways, so the work is arranged to catch them. One agent writes and a different one reviews. Tests run before every commit, and every fixed defect gets a test that fails if the defect comes back. A person decides what gets built and what ships, and anything that spends real money or cannot be undone waits for that person. The agents keep the records that make that oversight possible: the card, the decision, the commit, the status post.
Why tell you this
These sites describe tools a small company built for itself, and most of them are not for sale. The idea worth taking from them is not any one tool. It is a habit: give software an interface an agent can use, not just one a person can, and the screen becomes a window onto work that is already happening.
How agents use Pulse
Pulse has an MCP server with 62 tools. An agent can set up measurement as well as read the numbers: create a site, fetch its install tag, add a goal, start an A/B test, and schedule a report. The tools cover the same analytics the dashboard shows.
- MCP tools
- 62
- MCP server since
- April 7, 2026
- User interface
- Since April 6, 2026
- Set up a site
create_siteregisters a site andget_snippetreturns the tracking snippet to install. Narrative depends on this. Before a new site is added there, an agent creates its staging and production sites in Pulse and copies both IDs into the site's config.- Ask for any breakdown
- Pages, entry and exit pages, sources, campaigns, locations, devices, browsers, web vitals, and the live visitor count each have a tool, plus
get_statsandget_timeseriesfor the totals. Asking how a campaign did is one call. - Goals, funnels, and attribution
create_goalandcreate_funneldefine what counts as success, andget_goal_conversionsandget_funnel_resultsread it back.get_attributionsupports last touch, first touch, linear, time decay, and position based.- Experiments and reports
create_test,start_test, andconclude_testrun an A/B test, and the conclusion uses a chi-squared test for significance.create_report_schedulesets up a saved report by email, andcreate_milestonemarks a deploy or launch on the timeline.