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Autonomous SaaS

Run your SaaS like it has a co-pilot

You stay in the driver's seat. ROOKON watches the road: it monitors your product continuously, notices problems and opportunities before you do, explains what it sees and prepares the next move for your approval.

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The problem

Running a SaaS is a stream of small, urgent interruptions

Founders and small teams spend a large part of every week on maintenance: triaging alerts, digging through analytics, reproducing bugs and shipping small fixes. That work is necessary, but it rarely needs to start from zero every time.

  • Problems are found by customers before the team
  • Investigation means jumping between several tools
  • Small fixes wait weeks behind feature work
  • Knowledge about the product lives in a few people's heads

Live demo 1 of 3

Watch the autopilot run

Pick a detected issue and watch ROOKON take it from detection to a pull request waiting for your review. Simulated.

  • Select the slow reports issue

rookon · acme-cloud / production · autopilot

Simulated data

Product health

Live

Health

86/100

Error rate

0.42%

Active users

1,284

Errors · last 24 h

Detected issues

Autopilot run

  1. 1

    Detect

  2. 2

    Investigate

  3. 3

    Analyzevia your AI provider

  4. 4

    Propose fix

  5. 5

    Your review

Select an issue or press Run to watch ROOKON investigate it.

How ROOKON helps

What you get

  • Continuous observation

    Errors, performance, behavior and conversions are watched around the clock, across every project in your organization.

  • Correlation across signals

    ROOKON links an error to the sessions it interrupted and the funnel it hurt, building a single picture of each problem.

  • Six questions, every time

    Every recommendation answers what happened, why it matters, who is affected, what should change, the expected benefit and what happens if you approve.

  • Prepared, not just reported

    Instead of an alert that starts your investigation, you receive the investigation and, where it fits, a proposed code change.

  • Approval where it counts

    Anything that touches your code requires a human decision. ROOKON proposes; your team reviews, merges and deploys.

  • Autonomy you can dial up

    Choose what runs automatically (for example, analyzing every critical issue as soon as it appears) and what waits for you.

Live demo 2 of 3

How the modules feed each other

An interactive map of ROOKON’s intelligence layer, including the impact loop that checks every change after it ships.

  • Press “Run the improvement loop”

rookon · intelligence layer

Simulated data
ROOKONIntelligence layer

Module

Impact

Measures every shipped change in equal windows before and after, and reports what actually moved, including what didn’t.

6 changes measured

Feeds into

  1. Monitoring→
  2. Error detection→
  3. Conversion→
  4. AI analysis→
  5. Code improvement→
  6. You review→
  7. Impact

The co-pilot loop

  1. 01

    Observe

    The tracker and SDKs stream privacy-filtered signals from your product.

  2. 02

    Detect

    ROOKON spots deviations from your baseline and groups them into issues.

  3. 03

    Understand

    Evidence is gathered and your AI provider explains the likely cause in plain language.

  4. 04

    Prepare

    A recommendation, and where relevant a code change, is ready for you.

  5. 05

    Approve

    You decide. Approved changes become pull requests in your repository.

  6. 06

    Verify

    After you release, ROOKON checks whether the issue has stopped and reports back.

Live demo 3 of 3

Autopilot with a spending limit

Autonomy you can afford: choose what ROOKON analyzes on its own and the monthly cap it must stay under. A simulated month plays out with the same rules the product uses.

rookon · workspace settings · AI budget

Simulated data

Billed by your AI provider, on your key. ROOKON stops before the cap.

What runs automatically

Your model’s price per 1M tokens

Example prices. Check your provider’s current pricing for your model.

Simulated day 1 of 30

Live

$0.00 of $25 this month

on track

projected month-end $0.000 tokens0 automatic · 2 waiting

Detected issues (newest first)

  • infoRarely used setting causes console warningday 1
    This issue is below the severity your autopilot mode analyzes automatically.
  • infoImage without dimensions on /blogday 1
    This issue is below the severity your autopilot mode analyzes automatically.

Simulated month. Most impactful issues are analyzed first; ROOKON reserves the worst case before each call so a single analysis can’t push you over the cap.

Try: Switch to Manual only · Set the cap to $5

FAQ

Common questions

What does “autonomous” mean in ROOKON?

The work of noticing, investigating and preparing a fix is automated. Decisions that change your product, such as merging code, always stay with your team.

Will ROOKON make changes without me?

Not to your code. You can let ROOKON run analyses automatically, but proposed changes only become pull requests when you authorize them, and only your team can merge.

Do I have to use every module?

No. Monitoring, behavior analytics, session replay, conversion analysis and AI analysis are included in every plan. Turn on what helps you; the rest stays out of the way.

Who is ROOKON built for?

SaaS founders and product teams who want fewer hours spent on maintenance, especially teams without a dedicated SRE, data analyst or QA function.

How is this different from combining separate tools?

Separate tools each hold part of the picture. ROOKON keeps errors, sessions, funnels and code context in one model, which is what allows it to explain a problem and prepare the fix in one place.

Related

Put your product on autopilot, with you in control

Sign up and give your SaaS a co-pilot.

Get started with ROOKONExplore live demo