Plan, ship and prove it paid off

Paste this into your agent
Set up Golden Frijoles in this project. 1. Read https://goldenfrijoles.com/install.md before installing anything. 2. Tell me in a few lines what it installs, what changes on this machine and which services it contacts. Offer me a security review, and wait for my go-ahead. 3. Install it the way install.md says for the agent you are. 4. Run the setup skill from the golden-frijoles plugin.

Plant Golden Frijoles and operate across the board, grow with no limit.

The new maker loop

From an idea to something real

Golden Frijoles enables makers. It gives what you are already making somewhere to go — shared context, bounded action, real product operations. Then it keeps the evidence.

  1. 01

    Consider

    Consider whether it deserves investment.

  2. 02

    Operate

    Operate by deploying that investment through humans and agents.

  3. 03

    Exit

    Exit by deciding what the Evidence justifies.

One operating context

Run the whole operation

Identity and access, governance, security, spend — a real product needs all of it, and the usual answer is a department for each. Golden Frijoles gives a maker and their agents one set of rails across the whole surface instead, so owning the product does not mean becoming five teams.

PRODUCT OPS

Make the right product better

Stop guessing what to build next. Connect the goal to what people actually do, and let the evidence pick the next thing worth making.

  • What is moving our North Star?
  • Where are people getting stuck?
  • What did the experiment actually change?
North Star + inputsKeep the product pointed at value.
Journeys + TARSSee how people move through the product.
SignalsTurn behavior into evidence you can act on.
ExperimentsCompare what changed against what mattered.

Agents with somewhere to work

More than an endpoint

Your agents can investigate, propose and act. Golden Frijoles keeps the context, permissions, staged changes and evidence visible, so autonomy can expand without the product becoming a black box. Governance and control over what your agents may do, without a department to enforce it.

Let agents move, keep the last word

Scoped credentials, staged actions, explicit approvals and an append-only record. The agent's work is something you can inspect, not something you have to trust.

Agent proposed Widen the first-value rollout to 25%12:41
Checks passed Rule schema, targeting, rollback path12:42
Your call required This one increases production exposurenow
Built, currently gated

Break glass on purpose

Flags, circuit breakers, resilience drills and security scenarios exist so a product can be put under the unpleasant version of the lesson deliberately, rather than waiting for it to arrive on its own.

Resilience drill A destination starts answering slowlybounded
Security scenario An unauthorized transition is attemptedblocked
Evidence kept What happened, and what stopped itverified

FinOps for agentic making

Know what each epic costs — against what you expected

Every epic gets a quote when it is refined, calibrated from what your own shipped epics actually cost. While it is built, the build view shows spend against that quote; at close the actual is stamped into the epic, so the next quote is better. Push your usage and FinOps in the console breaks it down by epic, skill and model.

Measured, not estimated: token counts from your own sessions — never their content — priced as ≈ API $, a list-price equivalent. Claude Code only; other agents are not measured yet.

Measuredfrom your own Claude Code sessions
Quotedfrom your shipped epics, at refining
Alertedin the build view, when spend passes the quote
Stampedinto the epic at close — the next quote learns

Over the quote is an alert, not a stop — we do not host your agents, so nothing is throttled on your behalf.

Next buildCost per outcome — connecting the spend to the North Star movement it bought — is the next build.

The way of working behind the product

Learn it by making something real

Agents make it cheap to build something that demos well. What they do not give you is the taste to know whether it should exist, or the evidence that it held up once real people used it. The method came out of building Golden Frijoles, and the way to learn it is to use it: bring your own project, install the rails, design a Bet with your agents, build it, prove it, and find out what actually happened.

Your project. Not our demo.

Field guide

From an idea to one shipped, proven Bet

Enough theory to make the next decision, then straight back to your product.

Consider

  1. 01Bring an idea
  2. 02Design it
  3. 03Place the Bet

Operate

  1. 04Build it
  2. 05Prove it

Exit

  1. 06Decide what happens next

Practice earns doctrine. Reality gets the last word.

Pricing that doesn't require a meeting

Start with one project for $0. Bring the rest of the company when they inevitably ask where you got the numbers. Nothing here locks you in — not the agent you use, and not a contract.

Humans remain unmetered.

A handful

$0

One project. Enough Golden Frijoles to find out whether we're onto something.

  • Full product context
  • Experiments & rollouts
  • Agent connection
Start free

No credit card. We checked.

The vault

Pods

Your team, augmented with the same ways of working we use ourselves. Benchmarked before and after, because “it felt faster” isn't a Pod Report.

  • Scoped to your team
  • Measured before and after
  • Priced after we talk
Book a conversation

Twenty minutes with a human. No price until we both know the shape of it.

We meter events. Not coworkers. Per-tenant limits are set on the tenant, not by this page — raising one is a database change, never a redeploy. (multi-tenant-activation)

Your next idea does not need a department

What do you want
to make?

Bring the idea. Bring your agents — whichever ones you like, now and when better ones arrive. Golden Frijoles gives you the rails to turn it into a product you can build, operate, test and grow.

Paste this into your agent
Set up Golden Frijoles in this project. 1. Read https://goldenfrijoles.com/install.md before installing anything. 2. Tell me in a few lines what it installs, what changes on this machine and which services it contacts. Offer me a security review, and wait for my go-ahead. 3. Install it the way install.md says for the agent you are. 4. Run the setup skill from the golden-frijoles plugin.

Magic beans, but with telemetry.