Marketplace of specialized AI agentsand subagents — useful everyday assistants

AI agents that research, invent and review the product together with your team.

For product teams and researchers: set the context and get a verifiable working document — with inputs, stages, limitations and human confirmation points.

Methodology, limitations and result format are visible before launch

Product thinking machine / MT–01A human confirms the transitions
01 / research

Gather observations

Facts, quotes and an opportunity map.

02 / invent

Resolve the contradiction

Solution directions without random trial and error.

03 / review

Assess the consequences

Accessibility, limitations and human control.

04 / capture

Get a working artifact

A structured result instead of a stream of messages.

Orchestration scheme of three AI agents: research, invention and review
Input materialsHuman in controlAgents at workArtifact under review

The short answer

An AI agent on agentseffect.com is a special­ized digital worker with a defined methodology, input data and result format.A subagent is a performer of simple, useful commands — your everyday assistant.
01Foundation

Golden Trio

Three technical passports. One product cycle.

Each agent solves a separate task. Together they form a route from observation to decision and critical review.

AGT–01 / DISCOVERYContact us
Abstract scheme of the Agent-CustDev role

Researcher

Agent-CustDev

Researches the audience and builds a verifiable opportunity map.

  • One question at a time
  • Facts of past behavior
  • Quotes and strength of evidence
InputGoal, segment, interviews, notesOutputReport, quotes, opportunity map
AGT–02 / INVENTIONContact us
Abstract scheme of the Super Oracle role

Inventor

Super Oracle

Examines contradictions and turns them into strong solutions.

  • Formulates the conflict
  • Shows the principles applied
  • Separates facts from hypotheses
InputProblem, constraints, conflict of requirementsOutputContradiction model, options, tests
AGT–03 / REVIEWContact us
Abstract scheme of the Agent-Muse role

Auditor

Agent-Muse

Checks the product for honesty, accessibility and respect.

  • Dark patterns
  • WCAG heuristics
  • Honest alternative
InputURL, scenario, mockups, textsOutputObservations, evidence, priorities
02Support

Useful everyday assistants

Routine work worth delegating to agents in 2026.

A subagent plugs into a process you already know, performs one clear command and returns the result to where a human will review it or the next stage will continue.

SUB–01 / MAILContact us to arrange a demo Useful commandAmail Mail AssistantSorts incoming mail, suggests priority and prepares reply drafts. Open the page SUB–02 / MEETINGContact us to arrange a demo Useful commandLocal Meeting ScribeTranscribes meetings locally and compiles minutes, summary, decisions and tasks. Open the page SUB–03 / LEGAL RAGContact us to arrange a demo Useful commandLegal RAG NavigatorAnswers questions about contracts and regulations with exact quotes from uploaded documents. Open the page SUB–04 / DATAContact us to arrange a demo Useful commandData AnalystConsults on a PostgreSQL database in natural language, by text or voice. Open the page SUB–05 / REQUIREMENTSContact us to arrange a demo Useful commandBusiness Requirements AnalystGathers scattered requirements into a consistent structure of specifications and acceptance criteria. Open the page SUB–06 / SUPPORTContact us to arrange a demo Useful commandSupport Ticket RouterAnswers routine questions from the knowledge base and escalates complaints, refunds and uncertain cases to a manager. Open the page SUB–07 / LEADSContact us to arrange a demo Useful commandB2B Lead QualifierScores B2B leads with an open formula, shows the score and leaves the deal decision to a human. Open the page SUB–08 / SUPPLYContact us to arrange a demo Useful commandProcurement PlannerBuilds a demand forecast and a procurement plan with quantities, budget and visible confidence per item. Open the page SUB–09 / DATAContact us to arrange a demo Useful commandCompany Data / Website ConsultantConsults on company / website data and honestly says "I don't know" when the fact is missing. Open the page
03Flow

Materials are transformed into decisions.

Conclusions remain traceable to their sources, and handoffs between agents remain visible to the user.

Work flow: from the input context through research and solution search to review and the final artifact

Accept the context

Goal, materials, constraints and permitted sources.

Explore the signals

CustDev separates observations and facts from assumptions.

Shape the decisions

Super Oracle turns the contradiction into options and tests.

Review and capture

Muse reviews the decision; the outcome is saved as an artifact.

04Navigator

Start with the task, not with the prompt.

05Launch

Four practical steps.

The interface explains the consequences of every action before it is performed.

1

task

Choose the role

Check the purpose, input, output and limitations.

2

context

Add the materials

Only what is actually needed for the work.

3

control

Check the permissions

Environment, retention and team access.

4

result

Accept or reject

The artifact stays a proposal, not an order.

06Blog

Understand before you automate.

Short, practical materials without technology hype.

07Answers

Questions worth asking before launch.

Direct answers for quick reading. Expand the question you need or open them all at once.

What is an AI agent on agentseffect.com?

It is a specialized work scenario with defined inputs, stages, tools, result and limitations. It is not presented as universal intelligence, and every conclusion remains traceable to its supporting data.

How is a subagent different from an agent?

An agent runs an independent work scenario from task to verifiable artifact. A subagent performs one simple, useful function inside an existing process and passes the result to a human or to the next stage.

How is an agent different from a regular chatbot?

A chatbot mainly holds a conversation. An agent follows a defined process: it accepts materials, performs a sequence of operations, preserves source references, and produces a structured artifact.

How many ready-made solutions are in the catalog?

Twelve: three agents — Agent-CustDev, Super Oracle and Agent-Muse — and nine subagents, from the mail assistant to the procurement planner. Each agent and subagent has a defined role; they can be combined into multi-agent systems.

Can agents be run in sequence?

Yes. The Golden Trio scenario passes the result from one agent to the next (for example Agent-CustDev to Super Oracle, and then to Agent-Muse). At each handoff a human can review and correct the data.

What is an artifact?

It is a structured result of an agent's work: a report, a map, minutes or a review. The artifact preserves the sources and rationale behind its conclusions. It supports a human decision; it does not make one.

What is the Golden Trio?

A ready-made scenario of three agents: CustDev researches the audience, Super Oracle turns the identified contradiction into solution options, Muse reviews the result. The sequence and human control points are described on the scenario page.

Do agents replace programmers and engineers?

No. Agents automate repeatable stages of a process, but deploying complex, high-load systems always requires experienced engineers, programmers and security specialists. An agent is a tool, not a replacement for the team.

What deployment options are available?

Cloud, team, and local environments are available. The specific option depends on the agent and deployment conditions; for sensitive data, a local perimeter can be configured so the approved setup does not send materials to external services.

Do I need to understand prompts to work with agents?

No. Work starts from the task and materials, not from crafting a prompt: the navigator on the home page helps pick an agent by task, and the agent passport describes inputs, stages and the expected result.

What tasks can AI agents automate?

Repeatable and verifiable stages: audience research with the CustDev method, searching for engineering solutions via contradictions, auditing interfaces for dark patterns and accessibility, handling incoming mail, taking meeting minutes, searching contracts and preparing requirements. Each task has a published agent passport: inputs, stages, limitations and human control points. Responsibility for the final decision — legal position, budget, acceptance of the result — stays with the human, not the agent.

Where does a human control the process?

Control points are described in each agent's passport: confirming the context before start, reviewing materials between stages, and accepting or rejecting the finished artifact. The process does not continue without confirmation.

How much does a launch cost?

Contact us to arrange a demonstration. The cost of a production deployment is calculated after selecting the agent, data volume, deployment environment, and integration requirements.

How does implementation start?

With the questionnaire: you describe the current process, the expected result and the materials. Next is a short intro call where the scope of the task and the format of the proposal are fixed.

How does the intro call work?

A 45-minute Telemost video call. Available slots are visible right in the questionnaire; times are shown in the Moscow time zone.

Can I connect my own agent?

Yes. You can connect your own agent as a plugin to an agent harness — the system that runs the agent and provides its tools.

How are new agents moderated?

Purpose, inputs and outputs, limitations and declared checks are verified. Red flags — guarantees of results without a measurable criterion, hidden external services.

What tasks do agents and subagents solve?

Agents run a full work scenario — from task to verifiable artifact. Subagents perform one step of a process. Together they cover audience research, engineering solution search, website audits, mail handling, meeting minutes, contract work and requirements preparation.

How can I ask a question that is not on the list?

To get an answer, use our assistant on the website or in Telegram.

What is the practical difference between an agent and a subagent?

An agent runs an independent process: accepts materials, goes through the stages, returns an artifact. A subagent performs one command on a limited fragment of context — for example, find a quote in a contract or transcribe a meeting recording.

08Custom

An agent for your business process.

If none of the ready-made solutions fits, we will develop a custom agent around your team's task, data, roles and constraints.

Start with the questionnaire: describe the current process, the expected result, data sources, required integrations and human control points. The answers will help define the project boundaries and prepare a development proposal.

Task
What needs to change in the current process.
Data
Which materials are available and what must not be shared.
Integrations
Which systems the agent must work with.
Human control
Where a check or confirmation is required.

First step

Choose a ready-made solution or describe your process.

Pick one of the twelve agents and subagents, or fill in the questionnaire for custom development.

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