# Computer Work Val v1.0

> Source: <https://plato.so/research/computer-work-val/>
> Published: 2026-10-28 04:49:12+00:00

The contributors come from the US occupations with the largest share of labor costs in digital work. Each one turns a piece of their own job into an environment. **Computer Work Val v1.0** is 300 of those tasks, chosen to represent every domain, and the environments can be used for both testing and training.

## Results

## How the environments are created

We build each environment from high-fidelity clones of tools like Jira, Google Sheets and Salesforce, seeded with mock data from the person who actually does the task.

### Simulators used

The environments run on 210 simulated apps, from Gmail and Excel to open-source ERPs, health records and helpdesks.

- Gmail
- Google Sheets
- Slack
- Word
- Excel
- PowerPoint
- Salesforce
- Google Drive
- Jira
- DocuSign
- HubSpot
- Shopify
- Google Docs
- Canva
- Zendesk
- Stripe
- Figma
- Power BI
- Trello
- Google Meet
- Freshdesk
- Amazon
- BambooHR
- Fathom
- Airtable
- 7shifts
- TurboTax
- DoorDash
- Airbnb
- Freshdesk (MCP)
- Xero
- Booking.com
- Jira Service Management
- Zoho Inventory
- Notion
- Splunk
- Zoho CRM
- PagerDuty
- UpKeep
- craigslist

## Show all 210

- Grist
- BookStack
- Mattermost
- Docspell
- Nextcloud
- Metabase
- ERPNext
- WordPress
- Baserow
- WooCommerce
- OpenEMR
- Plausible
- Odoo eLearning
- ONLYOFFICE
- Znuny
- Bahmni
- Worklenz
- GLPI
- Superset
- Akaunting
- Bugsink
- osTicket
- Part-DB
- GitLab
- Plane
- listmonk
- Probo
- Odoo
- Odoo Manufacturing
- Grafana
- EspoCRM
- Forgejo
- Formbricks
- YAFFA
- Redmine
- CloudBeaver
- OpenCart
- eLabFTW
- Odoo Maintenance
- Datashare
- Odoo Invoicing
- Horilla
- Kanboard
- NetBox
- authentik
- CKAN
- Snipe-IT
- Dittofeed
- Frappe HR
- Dolibarr
- Docs
- Odoo Project
- CourtListener
- Memos
- GlitchTip
- Uptime Kuma
- ownCloud
- Odoo Purchase
- Healthchecks
- Odoo Inventory
- Documize
- Documenso
- Bigcapital
- Keycloak
- DocuSeal
- Easy!Appointments
- FreeCAD desktop
- Moodle
- Airflow
- Airbyte
- OrangeHRM
- GRR
- Answer
- Cascadia PLM
- FreeScout
- Bitcart
- Nextcloud Office
- doccano
- Redash
- Firefly III
- Mifos
- EveryDocs
- openIMIS
- Lychee
- Axelor
- Ghostfolio
- Odoo Expenses
- LocalStack
- bewCloud
- tillywork
- Invoice Ninja
- Odoo Employees
- CARE
- b1gMail
- Odoo Sales
- Econ market
- Bytebase
- docassemble
- GitHub
- BookLore
- Tumble
- n8n
- Kimai
- Chatwoot
- Wiki.js
- NocoBase
- InvoiceShelf
- VICIdial
- Odoo Email Marketing
- DAViCal
- Hyperswitch
- iDempiere
- Leantime
- Mindustry
- Twenty
- Zulip
- Bots EDI
- Hi.Events
- Kitchen 3D
- IceHrm
- alf.io
- InvoicePlane
- Penpot
- Docmost
- Flare
- Crater
- Bytepack
- Floor 87
- Lemmy
- Seafile
- Parallax
- Automatisch
- Vexa
- Odoo CRM
- Frappe Insights
- OpenAlgo
- KoboToolbox
- Gridfall
- Jeedom
- OLDP
- 2FAuth
- ArchivesSpace
- Cabot
- Halo
- DreamFactory
- Odoo Events
- Accent
- µTask
- TYPO3
- Blender
- Kestra
- AFFiNE
- 4ga Boards
- vutuv
- Odoo Time Off
- Ever Gauzy
- CodiMD
- Aleph
- Ballerine
- Databunker
- Peppermint
- SuiteCRM
- Cachet
- Etherpad
- Admidio
- ChiefOnboarding
- Aptabase
- Drupal
- Krayin
- Coder

## How we select people

Every task contributor goes through a rigorous pipeline to ensure they meet our quality bar.

1. 1#### Initial screenWorks at a relevant organization · uses AI heavily in their job · 3+ years in their domain
2. 2#### InterviewsA communication skills assessment and a domain expertise assessment
3. 3#### Task creation trainingAn introduction to RL task creation and how to create high-quality tasks, then Plato platform training
4. 4#### Work trialA three-hour work trial
5. 5#### Final human reviewDomain experts and a Plato RL task specialist check accuracy, relevance, task quality and fit with RL objectives

### Who the tasks come from

The 300 tasks span 10 domains and 36 roles.

## How we ensure world quality

We check every task on four dimensions to make sure it reflects real work, poses a meaningful challenge and is worth getting right.

#### Realistic

The environment and prompt match the author’s real job.

- The software they actually use
- Anonymized data, in the places it would normally sit
- A short prompt, the way work actually arrives

**In the Juniper Bean example** The accountant’s own stack: Excel, Gmail, Stripe and Mercury. Last quarter’s P&L sits in an email thread, where it normally would.

#### Fair

Everything needed to finish the task is in the environment.

- Information is where someone in the role would look
- Conflicting data has a clear source of truth
- Each grading criterion is objective and tied to what the task requires

**In the Juniper Bean example** Stripe shows every CAD payment next to its USD-converted amount, so the right revenue figure is findable.

#### Difficult

The work takes reasoning and several steps, not a lookup.

- Reconciling information across sources
- Working through conflicting records
- Difficulty from the work itself, never from missing information

**In the Juniper Bean example** Revenue spans USD and CAD. Summing the Stripe export at face value overstates it by $3,180.

#### Severe

A wrong answer has real consequences.

- Financial or legal impact, or harm outside the team
- Hard to reverse or likely to go unnoticed
- Actions taken without the required approval

**In the Juniper Bean example** The P&L goes straight to Elena, the CFO. An inflated revenue line reaches leadership unnoticed.

**Reviews:** two experts from the same occupation agree on each task’s realism and fairness, and the Plato team reviews it for environment defects, reward hacking and prompt/grading mismatches.

## Want access?

[Partner with us](https://plato.so/partner/) to get access to any of these environments.

## Work with us

We’re hiring! Check out [open roles](https://jobs.ashbyhq.com/plato.so) or email [hi@plato.so](mailto:hi@plato.so).