Triage community work
Triage community work using the current repository issue and its supporting records.
REPOSITORY ISSUE / CONTRIBUTION / RELEASE MILESTONE
AI agent for open-source project maintainers
Triage community work, review and improve contributions and publish maintained releases—carried through by an autonomous AI agent that adapts to your work.
A specialised AI agent you can ask for more. Chat here on the site.
$249.00/month, including $50.00 in monthly credits. Monthly subscription. Before tax.
One place for triage community work, review and improve contributions, publish maintained releases.
MADE FOR YOUR WORKDAYStart with work already on your desk
Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.
Get my AI agent →“Prepare the next release: reproduce the oldest bugs, finish compatible contributions and publish release notes with migration guidance.”
A useful first result
An editable repository issue and release milestone register with traceable references, resolved discrepancies and specific next actions.
Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.
A conversation at your desk
This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.
Illustrative project · configured agent at work
A configured agent with your repository issue, contribution, release milestone records, current commitments and the connected accounts used to review and improve contributions.
A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.
Prepare the next release: reproduce the oldest bugs, finish compatible contributions and publish release notes with migration guidance.
Two pull requests solve the same issue differently. I am comparing behaviour and consolidating the compatible parts with attribution.
Work in progressKeep the documented compatibility policy and credit the contributors in the release notes.
The release has tested fixes, reconciled contributions and migration guidance. Deferred issues have reproducible descriptions and clear next steps. Your working files and dashboard reflect the recorded outcomes.
Later · delivery and saved resultsThe details your specialist follows
Follow each repository issue through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.
Keep an eye on: changes in contribution, missing release milestone evidence and unresolved repository issue dependencies.
Illustrative working document · your records start empty
| Repository issue | Dependency to follow | Evidence of completion |
|---|---|---|
| OPPORTUNITY022-104 | Triage community work | Community issues resolved |
| OPPORTUNITY022-118 | Review and improve contributions | Contributions merged |
| OPPORTUNITY022-126 | Publish maintained releases | Release milestones met |
Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.
REPOSITORY ISSUE / CONTRIBUTION / RELEASE MILESTONE
Use repository conventions, issue reproductions, contributor context and release evidence. Carry useful work through implementation, documentation and communication while preserving contributor credit and project decisions. Your specialist maintains these working records in regular Teams as the assignment develops.
Your AI agentPrepared for open-source project maintainers
An example record for repository issue, contribution, release milestone, review checks.
The useful next step
Triage community work using the current repository issue and its supporting records.
Built around the details that matter
Maintainers serving an open-source community, distinct from client software agencies and commercial plugin publishers.
Triage community work using the current repository issue and its supporting records.
Review and improve contributions while keeping contribution changes traceable.
Publish maintained releases with checked release milestone evidence and editable working files.
A small tool for a real job
Watch for changes in contribution, missing release milestone evidence and unresolved repository issue dependencies. Investigate the cause, carry useful follow-through to completion and improve the saved method when it helps.
Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.
Try your own numbers
Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.
From enquiry to a useful next step
Add a job reference and the details you already know.
Repository issue and Contribution, ready to check.
Give your specialist the outcome and let it carry the work forward.
Keep working records in Files and Tasks.
Keep the job and its next steps together.
Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.
Prepared for your business
Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.
Recorded cases · outcomes
Count one distinct observed outcome for “Project releases published”, linked to its repository issue and stable completion-event ID. Use the real completion timestamp and supporting release milestone reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Count one distinct observed outcome for “Community issues resolved”, linked to its repository issue and stable completion-event ID. Use the real completion timestamp and supporting release milestone reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Count one distinct observed outcome for “Contributions merged”, linked to its repository issue and stable completion-event ID. Use the real completion timestamp and supporting release milestone reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Average · hours
Measure “Ready contribution to merged outcome” in elapsed hours using the actual start and end timestamps for the same repository issue. Store one duration per completed observation with source references and timezone. Exclude pending cases, missing timestamps, reversed intervals and illustrative values. Never substitute a current status or sum recurring snapshots.
Observed rate · %
Completed commitments assessed for “Release milestones met”, linked to stable repository issue references. Numerator: on_time; denominator: on_time plus late from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Compare actual completion with the original agreed deadline and timezone; never move the deadline to improve the result. Corrections replace the original event instead of counting twice.
Observed rate · %
Completed assessments for “Release regression checks passed”, linked to stable repository issue references. Numerator: passed; denominator: passed plus failed from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Apply the documented requirement or acceptance checklist and retain the actual supporting evidence; do not infer a pass from an administrative status. Corrections replace the original event instead of counting twice.
Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.
Keep the tools that already work
Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.
The starting instructions, intake questions and working rules already match open-source project maintainers. Add your service list and one example of your tone when you are ready.
Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.
Your agent can take on a new assignment, build a new workflow, improve its saved methods and adapt its dashboard as your needs evolve. The starting examples do not limit its capabilities. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.
Recommended starting plan
Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.
$249.00/month
Capacity for 1 running agent · hosting throughout the month
Start my AI agent →Your Agent plan is $199/month with hosting included. This recommended offer adds $50 in monthly Platform Credit funding, for $249/month.
$249.00 before tax today and monthly, including $50.00 in monthly Platform Credit funding.
Credits offer an easy start and unused credits roll over. You can switch to your own subscriptions or API keys anytime, with no Platform Credits needed for that AI work. Hosting is included within your agent’s resource allocation. Optional voice and other services use credits.
Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.
Other plans and connection options →
Prefer your own AI accounts? Choose a plan without the extra $50 monthly credit funding using the options above. Changing AI access alone does not remove that funding. Automatic top-ups start off; buy credits or set top-ups and spending limits when needed. Keep the full Teams controls for models, connections and supported settings.
Before you begin
Use repository conventions, issue reproductions, contributor context and release evidence. Carry useful work through implementation, documentation and communication while preserving contributor credit and project decisions. It keeps source references with the working files, checks the result and follows up on discrepancies. Ask it to adjust the method or report whenever your needs change.
No. This is an AI agent specialised for open-source project maintainers, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.
After payment, we prepare your AI agent for open-source project maintainers, its workflows and your repository issue and release milestone register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.
No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.
Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.
Compare the working records and business types each specialist is prepared for.
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