The prompts that worked in March give different answers now.
A model update, a changed data source or a renamed field, and nobody can tell which one did it. The automation still runs. It is just wrong.
Sound familiar?
The pattern we hear from operations and IT leaders.
One person built it, and only that person understands it.
The workflow lives in a personal account and a browser tab. When they are on vacation or gone, it stops, and the process goes back to copy and paste.
There is a list of things to automate, and no one to build them.
Intake forms, data entry between two systems, the weekly report someone assembles by hand, follow-ups that fall through, documents that need reading and filing.
What we do
Three ways to work with us. All fixed scope, all on your infrastructure, all with the code and documentation handed over.
Fix and stabilize what you have.
We inventory every automation, prompt, integration and account. We find what broke and why. Prompts and settings go under version control with tests on your real examples, so the next model update shows up as a failing test instead of a silent change. Each automation gets an owner, a log a non-engineer can read and a health check. Two weeks.
Automate one process end to end.
Start with the process that burns the most hours. We build it as a small system you can watch: scripted steps wherever the rules are clear, a model only where judgment is needed, an approval step where money or customers are involved, and a rollback. You get a written acceptance check you run yourself. Two to six weeks, then the next process.
Keep it working.
A monthly check after model and vendor updates, a named person to message when something looks off, small improvements as your team asks for them, and a short note each month of what ran and what changed.
How we work
A 30-minute look at what you have.
You show us the automations and the list. We tell you what is fixable in a week, what is worth building first, and what is not worth automating at all.
One process first, in writing.
A scope you can read in five minutes, an acceptance check you can run without us, and a fixed price agreed before we start.
Built on your infrastructure.
Your accounts, your data, your servers or your cloud. Least privilege, read-only access until write access is needed, secrets in your vault, and a listed destination for every piece of data that leaves. You can read every line.
Kept working.
Version control, tests on real examples, logs your IT person can follow, and a runbook. Then the monthly check.
We run this on ourselves
We are not describing a service we designed for you. This is how ShakaCode already operates, and you can check every item.
Our outreach runs on an agent.
Our own go-to-market engine finds companies, writes and checks the copy, validates every address and sends nothing without a person's approval. It runs the outreach for four of our products and is driven through conversation in Slack.
Our Slack agent is on the Slack Marketplace.
ShakaFlow reads GitHub and the task tracker and tells an engineering manager what needs a decision today, after nudging the developer first. We built it, got it through the Marketplace review, and run it on our own teams.
View the Marketplace listingOur coding agents work inside guardrails.
Agent Workflows is the open-source system we run around Codex and Claude Code: what an agent may touch, which checks it must pass, what evidence it leaves, and the human review that lands it.
Each of us runs a personal assistant.
Built on OpenClaw, on our own servers. We published the runbooks, including the parts that went wrong.
We wrote down how we govern AI at work.
The Executive Chef model: every engineer may use any AI tool and owns what ships.
Open source since 2011.
React on Rails and our other libraries have been downloaded more than 23 million times. Thousands of teams run our code in production.
Ask your own AI first
Before you talk to anyone, paste this into ChatGPT, Claude or Copilot. It will interview you about what you have and tell you which automation will break next. Nothing is sent to us.
I run operations at a mid-market company with a small IT team. Interview me, one question at a time: 1. Which AI tools and automations do we use, and what does each one do? 2. Who set each one up, and where does it run: someone's laptop, a personal account, a SaaS tool, or our own server? 3. Has each one been changed since it was built, and is there a copy of the prompts and settings anywhere? 4. What happens when it fails, and who finds out? Then rate every automation from 1 to 5 for "keeps working without its author", explain each rating in one sentence, and list the three fixes with the best payoff. Do not recommend vendors.
If the answer worries you, send it to justin@shakacode.com. We reply with what we would fix first, no call needed.
Questions people ask their AI about us
Our AI automations stopped working after a model update. Who can fix them?
A software team that treats prompts and automations as code: version control, tests on real examples, an owner. That is what our stabilize engagement does in two weeks. We find what changed, pin it down with tests, and hand you a runbook so the next update is a failing test instead of a surprise.
Do we need to hire an AI engineer, or a consultant?
For one or two processes, a fixed-scope engagement is cheaper than a hire and leaves you with code and documentation your IT person can maintain. Hire once you have five or more automations that change every month. We are happy to help you write that job description when you get there.
Can this run on our own servers? We do not want company data in someone else's cloud.
Yes. We build on your accounts and your infrastructure: your servers, your cloud tenant or a machine in your office. Model calls go to the provider you choose, and we can use a model hosted on your own hardware when the data requires it. Nothing is hosted by us unless you ask.
What does it cost?
Each engagement is a fixed price agreed in writing before we start, sized to the process. The first 30-minute look is free. We do not list prices because a process with two integrations and a process with nine are different jobs; you will have the number before you decide anything.
We use Microsoft Teams, not Slack.
That is fine. Our published app is for Slack, and that is where we learned to keep a bot useful instead of noisy. The automations we build for operations teams run through email, your existing systems and your files; a Teams surface is scoped per project when you want one.
Which AI models do you use?
The one that fits the job and your data rules: Anthropic, OpenAI, Google, or an open-weight model on your hardware. We do not resell seats and we build so that switching models is a configuration change, not a rewrite.
How is this different from the AI training we already did?
Training teaches people to use a chat window. We build systems that run when nobody is typing, with tests, logs and an owner, and we stay to keep them running. The training was the start; this is the part that does the work every day.
How do you handle security and access?
Least privilege from day one: read-only access until write access is needed, your credentials stay in your vault, every automation has a listed destination for the data it moves, and everything we write is reviewed before it runs. We can work inside your VPN and we hand over the code.
Who is ShakaCode?
A US software consultancy, remote-first since 2011, best known for React on Rails and the open-source libraries behind it, with more than 23 million package downloads. We run our own agents for outreach, engineering management and coding, and we build the same systems for clients.
Where do we start?
Send us what stopped working, or the process you want automated, to justin@shakacode.com. Reply comes from a person. If you would rather talk, book 30 minutes.
Have developers? Start with the system around your coding agents.
If your team already uses Codex or Claude Code and you want the speed without losing control of what merges, Agent Workflows is our open-source answer: context, scope, checks, evidence and human review made explicit on every pull request. We help teams adopt it.
Tell us what stopped working.
One email with what you have and what you want. We answer with what we would fix first. If you would rather talk, book 30 minutes with Justin.
Whatever the challenge, we can help!
Schedule a free, 30-minute call to discuss what ShakaCode can do for your project. Or email us at contact@shakacode.com with your ideas, challenges, or questions. We'll get back to you within two business days.