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9:41
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GPT-5.6 Terra

Analyze. Act. Create. Understand what's happening across your business, take action in the systems you already use, and turn every answer into something useful.

Chat/Why revenue dipped in August
Today
Why did our revenue dip in August?
09:14
ShopifyNet sales, Jul–Aug
QuickBooksProfit & loss
HubSpotTop B2B accounts

August net sales were £212,400, down 18% from July. Meridian Trade's paused orders account for £24k of the dip.

I can break the change down by account or market next.

8.4s

Analyze. Ask across systems and compare live metrics: revenue against ad spend, refunds by cohort, and stock to get data-driven answers.

Chat/Refund order #10482
Today
Refund order #10482 and draft a follow-up email.
09:18
ShopifyRefund order #10482
IntercomDraft follow-up
HubSpotFile support ticket

Done. I refunded £128, drafted the follow-up, and filed the ticket with the customer history attached.

I can send the drafted email when you're ready.

10.2s

Act. Update products, issue refunds, draft an email, file a ticket. Fieldwork acts in your tools, and anything that changes data waits for your approval first.

Chat/Q3 executive snapshot
Today
Create a Q3 executive snapshot for the board.
09:22
ShopifyMerch performance
QuickBooksOperating costs
SlackPrepare board share

Created the Q3 snapshot with Merch and Ops performance side by side.

Q3-executive-snapshot.xlsx42 KB
12.7s

Create. Turn any answer into an artifact - a board-ready report, a spreadsheet, a chart, a live dashboard - built from your data and ready to share.

Connect everything. Your store, your catalog, your support desk, your warehouse. Fieldwork connects to 100+ systems, and growing.

MCPOAuthAPI keysDatabases
Google
Microsoft 365
Slack
Shopify
HubSpot
Stripe
Notion
QuickBooks
Xero
WhatsApp
GitHub
Cloudflare
Intercom
Klaviyo
Customer.io
Asana
Trello
Figma
Airtable
Gorgias
Snowflake
Linear
monday.com
Dropbox
Box
Calendly
Docusign
Canva
Miro
Postgres
MySQL
SQL Server
BigQuery
Datadog
Sentry
GitLab
Vercel
Netlify
PayPal
Square
Mixpanel
Amplitude
PostHog
ClickUp
Todoist
Atlassian
Webflow
Wix
WooCommerce
BigCommerce
Outreach
Apollo
Close
Attio
ZoomInfo
Clay
Redshift
Supabase
Neon
ServiceNow
PagerDuty
Pendo
Hex
ThoughtSpot
Algolia
Ahrefs
Similarweb
Braze
Guru
Cloudinary
Egnyte
Jotform
Fireflies
Business Central
Buildkite
Prisma
Ramp
Ometria
Morningstar
Jam
Airbyte
Bugsnag
Celigo
DHL
Fathom
Grafana
Grain
Granola
Hugging Face
LaunchDarkly
Lucid
Make
Mercury
New Relic
PandaDoc
Plaid
PlanetScale
Postman
Railway
Replicate
Statsig
Stytch
Vanta
WorkOS
Zoho CRM
Affinity
Enigma
Globalping
HeyReach
InstantDB
MailerLite
Octagon
Parallel Search
Port
SimpleScraper
9:41
Connectors

Connect all the systems you use to Fieldwork.

Connected systems

98

Google

2 inboxes

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21

Shopify

Northfield Store

View details
34

Business Central

Production

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Build your own with AI

Built for serious data workloads. Every tenant includes a full data lake. ELT connectors continuously sync operational data from across your systems, enabling powerful analytics.

Full historyAlways freshReady to query
Shopify
Stripe
Gorgias
HubSpot
Xero

Fieldwork data lake

shopify.orders184,230 rows
stripe.payments96,814 rows
gorgias.tickets12,684 rows
hubspot.contacts48,102 rows
xero.invoices31,484 rows

More than answers. Approve actions, explore data, run code, and share the result, all without leaving the conversation.

Approvals. You stay in control. Review, approve, or deny any action before Fieldwork changes your systems.

9:41
August invoice discrepancy
Send Nina the invoice discrepancy follow-up we drafted.

I've prepared the email. Review it before I send anything.

Calling toolSend an email

To: Nina Cole <nina@meridiantrade.co.uk>

Subject: August invoice discrepancy

Hi Nina,

I've reviewed the August orders and found that three credits were applied after the invoice was issued, leaving a £2,840 variance.

I've attached the full breakdown. Could you confirm that the credits match your records so we can close the month?

Best,
Maya

ApproveDeny
6.8s

Sharing. Bring colleagues into the thread as viewers or editors, with access that stays under your control.

Share

General access

Everyone at NorthstarCan view

People with access

MCMaya ChenAuthor
JRJordan ReedCan edit
SPSofia PatelCan view
Add people…Add

App data

This app uses data from:

HubSpotData from the viewer's account(connection required)
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Rich interactions. Turn an answer into a chart you can inspect, discuss, and act on directly in the conversation.

Render Chart
Revenue by channelMarch–August 2026MarAprMayJunJulAugOnline storeWholesale

Powerful capabilities. Process data, analyze content, and edit files. Fieldwork can write and run code to take on whatever the task requires.

9:41
Clean customer export
customer_export.pdf2.4 MB
Clean this customer export, merge duplicates, and give me the final file.

I'll inspect the data, normalize it with Python, then verify the result.

2 tool calls, 1 message
Create Download

Cleaned 8,412 customer records and merged 318 duplicates.

Viewcustomers_clean.csv(684.2 KB)

Done. I cleaned the customer data, merged the duplicates, and prepared the final CSV.

4.2s

Accessible where you need it. Bring Fieldwork into your Slack channels, chat to it on WhatsApp, email it and get an answer back - or connect it to your favorite AI assistant over MCP.

Thread

Sarah 2 minutes ago

@Fieldwork what's our latest DAU number?

1 reply

Fieldwork APP Just now

Our latest full-day DAU for Monday, August 24, 2026 (UTC) was 11 active users (8 external, 3 internal team members) across 10 organizations, sending 241 messages.

For today (Tuesday, August 25, 2026), in progress as of 08:14 UTC, DAU is currently at 6 active users (3 external, 3 internal) across 5 organizations.

Recent context:

  • Trailing 7-day average (Aug 18–24): ≈8.4 DAU (5.6 external users/day)
  • Weekday average (last 5 business days): 9.4 DAU (6.8 external users/day)

Security first

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  • No training on your data

    Neither we nor our model providers train on your data. Inference runs with zero retention wherever the provider supports it.

  • Access

    Agents only see what the person asking can see. Conversations, files, apps and connections stay private until shared, and admins have no way into conversations.

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    Data is encrypted at rest and in transit. Each user's code runs in its own microVM, and secrets reach models by name only.

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