PROGRAMMING PROBLEM / TEST SUITE / SOLUTION EXPLANATION

AI agent for competitive programming educators

Give learners problems whose solutions actually hold up.

Develop contest problems, verify solutions and tests and prepare learning materials—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.

Specialised AI agentYour own report presetNo connection needed to begin
Programming problem workbenchSPECIALIST / 1163
Prepare learning materials. With the source records attached.ILLUSTRATIVE STUDY
YOUR SPECIALISED AI AGENT

One place for develop contest problems, verify solutions and tests, prepare learning materials.

MADE FOR YOUR WORKDAY

Start with work already on your desk

Your first useful assignment.

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 →
YOU COULD ASK
“Prepare the next contest set, repair weak tests and deliver verified reference solutions with clear learning explanations.”
  • Develop contest problems
  • Verify solutions and tests
  • Prepare learning materials

A useful first result
An editable programming problem and solution explanation 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

Prepare the next contest set, repair weak tests and deliver verified reference solutions with clear learning explanations.

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 programming problem, test suite, solution explanation records, current commitments and the connected accounts used to verify solutions and tests.

  • Develop contest problems
  • Verify solutions and tests
  • Prepare learning materials

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.

  1. You · Competitive programming educators

    Prepare the next contest set, repair weak tests and deliver verified reference solutions with clear learning explanations.

  2. Your AI agent · AI Agent Store

    One accepted solution fails at the maximum input size. I am correcting the complexity assumption and strengthening the tests.

    Work in progress
  3. You · Competitive programming educators

    Keep the intended difficulty progression and include the important edge cases.

  4. Your AI agent · AI Agent Store

    The contest pack includes checked reference solutions, stronger tests and explanations tied to the problem constraints. Your working files and dashboard reflect the recorded outcomes.

    Later · delivery and saved results

The details your specialist follows

Working records for competitive programming educators

Follow each programming problem 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 test suite, missing solution explanation evidence and unresolved programming problem dependencies.

Illustrative working document · your records start empty

Programming problemDependency to followEvidence of completion
OPPORTUNITY137-104Develop contest problemsProblem or test defects resolved
OPPORTUNITY137-118Verify solutions and testsReference solutions verified
OPPORTUNITY137-126Prepare learning materialsContest preparation deadlines met
Active programming problem records3
Edge-case groups across the planned work80 edge-case groups
Outcomes with supporting evidence2

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.

PROGRAMMING PROBLEM / TEST SUITE / SOLUTION EXPLANATION

A working brief for your AI agent.

Track problem constraints, intended algorithms, test coverage and solution versions. Execute available solutions against edge cases and distinguish an example passing from proof of correctness over the stated constraints. Your specialist maintains these working records in regular Teams as the assignment develops.

AI

Your AI agentPrepared for competitive programming educators

Programming problem and solution explanation registerEXAMPLE, NOT LIVE ACTIVITY

An example record for programming problem, test suite, solution explanation, edge-case groups.

01Programming problem02Test suite03Solution explanation

The useful next step

Develop contest problems

Develop contest problems using the current programming problem and its supporting records.

Built around the details that matter

Develop contest problems. With the right questions already in mind.

Programming contest teaching and problem preparation, distinct from general coding services and school assessment administration.

01

Develop contest problems

Develop contest problems using the current programming problem and its supporting records.

02

Verify solutions and tests

Verify solutions and tests while keeping test suite changes traceable.

03

Prepare learning materials

Prepare learning materials with checked solution explanation evidence and editable working files.

A small tool for a real job

Edge-case groups across the planned work. Before the back-and-forth.

Watch for changes in test suite, missing solution explanation evidence and unresolved programming problem 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.

  • Programming problem
  • Test suite
  • Solution explanation
  • Edge-case groups

Try your own numbers

Edge-case groups across the planned work

80edge-case groups across the planned work

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

Programming problem and solution explanation register. Your way of working.

01

Brief and source records received

Add a job reference and the details you already know.

02

Develop contest problems

Programming problem and Test suite, ready to check.

03

Verify solutions and tests

Give your specialist the outcome and let it carry the work forward.

04

Outcome evidence verified

Keep working records in Files and Tasks.

05

Prepare learning materials

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

The numbers behind your ai agent for competitive programming educators.

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.

01

Recorded cases · outcomes

Contest packs delivered

What this measures

Count one distinct observed outcome for “Contest packs delivered”, linked to its programming problem and stable completion-event ID. Use the real completion timestamp and supporting solution explanation reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

02

Recorded cases · outcomes

Problem or test defects resolved

What this measures

Count one distinct observed outcome for “Problem or test defects resolved”, linked to its programming problem and stable completion-event ID. Use the real completion timestamp and supporting solution explanation reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

03

Recorded cases · outcomes

Reference solutions verified

What this measures

Count one distinct observed outcome for “Reference solutions verified”, linked to its programming problem and stable completion-event ID. Use the real completion timestamp and supporting solution explanation reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

04

Average · hours

Problem brief accepted to verified pack

What this measures

Measure “Problem brief accepted to verified pack” in elapsed hours using the actual start and end timestamps for the same programming problem. 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.

05

Observed rate · %

Contest preparation deadlines met

What this measures

Completed commitments assessed for “Contest preparation deadlines met”, linked to stable programming problem 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.

06

Observed rate · %

Reference solutions passing specified tests

What this measures

Completed assessments for “Reference solutions passing specified tests”, linked to stable programming problem 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

Specialised in your trade. Open to your next idea.

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.

An AI agent prepared for your business

The starting instructions, intake questions and working rules already match competitive programming educators. Add your service list and one example of your tone when you are ready.

Give your agent the whole job

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.

Ask beyond the starting workflows

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

Your AI agent for competitive programming educators.

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 →

A clear starting total

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.

Confirm your subscription and we’ll prepare your specialist’s workspace, working instructions and dashboard. Then step into your Agent Teams conversation and put your specialist to work.

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

An AI agent for competitive programming educators.

How does the agent keep programming problem work accurate?

Track problem constraints, intended algorithms, test coverage and solution versions. Execute available solutions against edge cases and distinguish an example passing from proof of correctness over the stated constraints. 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.

Is this only for the three tasks shown?

No. This is an AI agent specialised for competitive programming educators, 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.

What happens after I subscribe?

After payment, we prepare your AI agent for competitive programming educators, its workflows and your programming problem and solution explanation 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.

Do I need to connect email or messaging?

No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.

Does this replace my existing business software?

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.