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Tuesday

Keep client AI workflows healthy after launch.

Monitor live client workflows, catch silent failures, and turn Check Run, Issue, and Monthly Report data into clear proof-of-work updates.

Start monitoringSee how it works

Built for

AI agencies, not generic observability

Client-ready

reports from operational evidence

Tenant-safe

workspaces and workflow credentials

Northstar Studio

June workflow maintenance record

Report draft ready
Workflow pass rate
96%+4 pts
Open issues
31 high
Report drafts
8ready
WorkflowStatusPass

Lead intake agent

Northstar Studio

Healthy99%

Support triage

Oak & Field

Review86%

Proposal assistant

Brightline Labs

Healthy96%

Pass-rate trend

Last 30 days

Agency teams are moving from launches to retained operations.

Tuesday is built for the point where client AI workflows are no longer experiments; they are production systems someone has to monitor, fix, and explain.

200+

customers supported

Agency client accounts that need workflow maintenance, issue follow-up, and monthly proof.

2,500+

active workflows monitored

Production automations, agents, and endpoints watched for failures, latency, and regressions.

15k+

report-ready checks run

Stored health signals that turn routine monitoring into client-ready maintenance evidence.

Post-launch monitoring that ends in client proof.

Tuesday gives agencies one calm operating record for workflow health, maintenance issues, and the monthly updates clients actually understand.

01

Monitor the workflows clients rely on

Endpoint checks, scheduled runs, and external run logs stay attached to the client and workflow that produced them.

02

Move failures into accountable work

Failures create deduped issues with severity, owner, status, maintenance notes, and report-safe resolution copy.

03

Send proof from stored evidence

Monthly reports are built from check runs, issues, synthetic tests, and prompt or model change records.

Built around the MVP loop

Tuesday stays focused on the operational path agencies need after delivery: Agency, Client, Workflow, Check, Check Run, Issue, and Monthly Report.

Every screen supports the same operational path: add the client, register the workflow, run checks, resolve issues, and generate proof from stored source data.

  1. 01

    Agency

    Run one tenant-safe workspace for client workflow maintenance.

  2. 02

    Client

    Keep each retained client connected to workflows, issues, and reports.

  3. 03

    Workflow

    Register the endpoint, run-log, model, and QA context that matters.

  4. 04

    Check Run

    Store scheduled, manual, or external results with status and latency.

  5. 05

    Issue

    Convert failures into deduped, resolvable operational work.

  6. 06

    Monthly Report

    Summarize health, incidents, resolutions, and proof for stakeholders.

Pricing by client capacity, not by seats.

Keep the whole delivery team in the workflow while the plan scales with the client and automation volume you maintain.

Monthly reports without a last-minute evidence hunt.

Reports pull from the operational record your team already created: checks, issues, resolutions, test runs, and workflow change notes.

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Monthly proof report

Brightline Labs - June 2026

Ready

Checks run

42

Resolved issues

2

42 workflow checks monitored

3 issues caught before client escalation

2 resolved incidents added to the proof log

Prompt v7 passed change validation

Run logging

Accept external run updates through scoped workflow keys.

Report automation

Generate monthly report drafts from stored evidence.

Change validation

Compare prompt and model versions before the next client update.

Tuesday

Focused SaaS for agencies maintaining live AI workflows after launch.

Tenant-scoped data, encrypted workflow auth, report-safe summaries.