Invite codes no longer gate your own accounts. Bring-your-own-account use is free for everyone; cloud Pro stays invite-only.Read the announcement
AnnouncementAugust 9, 2026

To everyone who's been following or using Mirasim:

Over the past few days, Mirasim ended up in front of a much bigger audience much earlier than we'd planned. We were still in private beta and, honestly, nowhere near ready for a wider launch.

Invite codes spread far beyond the small beta group we had planned for. In a very short window, we saw a flood of visits and test requests, along with some unusually aggressive, probing request patterns. Our capacity, reliability, and security systems weren't ready for that volume. Some of you ran into slow loading, failed requests, or Pro benefits that never showed up.

We're genuinely sorry for the rough experience. Whatever the source of the traffic, we should have been better prepared. That's on us, and our users shouldn't have to pay for it.

At the same time, you sent us a huge amount of honest, detailed feedback. A lot of issues that probably wouldn't have surfaced until a public launch showed up early. Thank you to everyone who took the time to try Mirasim, patiently share feedback, or report security issues responsibly.

Here's how access to Mirasim will work from here

Invite codes no longer limit connecting your own accounts to Mirasim — they only limit the cloud Pro service that Mirasim pays for.

Connecting and using your own accounts locally will be free for everyone. You'll be able to connect the Claude Code, Codex, and other model accounts or services you already use, then work across multiple models, Agents, and sessions in Mirasim. Mirasim won't charge for any of this. Third-party subscription or API fees will still follow each provider's own terms.

Cloud Pro access — where Mirasim covers the model usage costs to make things cheaper for users — will remain invite-only and roll out in batches as capacity allows. We'll keep sharing our progress and what opens next, so the rules stay as clear and transparent as possible.

A note on Pro benefits

  • The 1,000 beta users covered by our original promise will still receive one full year of Mirasim Pro. That promise has not changed.
  • Anyone who successfully registered during this wave after we had already passed the original 1,000-user limit will receive one month of Mirasim Pro. This is both to make up for the unstable experience and to thank you for trying Mirasim before it was fully ready.
  • If you've already registered or activated your access but your Pro benefits still aren't showing up, please don't try again. We have the records. We'll verify eligibility and apply the benefits in batches, then share the timing and start-date details.

How the rollout will work from here

Over the next week or two, we'll focus on adding capacity, fixing the entitlement system, tightening security, and working through your feedback one issue at a time. Mirasim remains open. Registration and local, bring-your-own-account access will stay available, while cloud Pro access will roll out in batches as capacity allows.

We're not trying to build yet another model aggregator. We want Mirasim to be an Agent workspace you can keep building in for the long run. Wherever the next leap in Agent capability comes from, you should be able to plug it into the same workflow, switch seamlessly, and use different Agents together. Once you've built something, you can put it in front of simulated users in a real environment and let evidence — not guesswork — tell you what to do next.

We want every leap in what Agents can do to become real leverage for everyone — so you spend less time chasing tools and more time building what you actually care about.

Models will change. You shouldn't have to start over.

Thank you for showing up before Mirasim was fully ready. From here, we'll put these promises into every fix and every update, and work to earn your trust by making Mirasim more stable and more reliable.

— The Mirasim team

Mirasim Documentation

Chapter 14

Evaluating with $eval

Send simulated users through the real thing, keep their traces as evidence, and let that decide the next task.

Why simulated users

Most of what you need to learn early about a build is coarse: the step nobody finishes, the wording nobody understands, the button nobody finds. Those failures show up in a simulated run, they show up in minutes rather than weeks, and they show up before the work is sunk.

Evaluation in Mirasim is an explicit skill, not an always-on review pass. You invoke `$eval` when you want evidence, and the simulation runs locally.

Where a run's evidence lands
The artifacts panel listing what each workspace's runs produced, previewable beside the session that made it.

ArtifactsScreenshots, traces, commands and reports all land here, anchored to the host that produced them. A conclusion you cannot trace back to a run is treated as no conclusion. — this control is not on the captured screen.

The buttons in this panel work — click them to look around.

Running an evaluation

The workflow is deliberate about what counts as signal, and the order matters.

  1. Fix the version and name the decision

    Pin the exact build under test and state what you will do differently depending on the outcome. An evaluation that cannot change a decision is a report nobody reads.

  2. Create isolated personas and natural scenarios

    The way you would pick a test group: the impatient first-timer, the expert who skips onboarding, the skeptic looking for a reason to leave — each with a task they would plausibly have, not a script to follow.

  3. Give each user the real entry point

    A clean context and the actual product: a browser, a phone, a shell, a conversation, or a rendered artifact. Runtime actions and observations are the evidence — reading the source is not treated as user evidence.

  4. Read the evidence, then decide

    Screenshots, commands, traces and artifacts are preserved, with what was observed kept separate from what was inferred. Then keep the change, revert it, or re-verify with held-out cases.

Reading the result

A run is worth reading in a specific order, most useful first:

  • Where did users actually get stuck? — the runtime action or observation where the run broke down, with the trace preserved so you can watch it happen.
  • What was observed, versus what was inferred? — kept separate on purpose, so you can trust the first and argue with the second.
  • What is the next task? — each observed failure converts directly into a build task for the next turn of the loop.

Past runs stay in the app: ⌘K, then Eval runs, opens the list of recorded simulation runs, so last week's round is one search away rather than a folder you have to remember.

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