An autonomous AI agent platform: you give an agent a goal in plain English and it plans, uses real tools, and delivers the finished work.

Is there a free plan?

Yes. Actus has a free plan to get started, with paid plans that add higher limits and advanced features like scheduled automations and team workspaces.

Can agents run automatically on a schedule?

Yes — agents can run hourly, daily, or on a custom cadence, so routine work happens automatically without you starting it each time.

How is Actus different from a chatbot?

A chatbot replies with text. An Actus agent takes action: it uses real tools to research, write, build, and send, then returns a finished deliverable instead of just advice.

Do I need to know how to code?

No. You describe your goal in plain English and the agent plans and executes the steps. Agents can write and run code when a task needs it, but you never have to.

Do I stay in control of what an agent does?

Yes. Irreversible actions require your approval, every run has budget and step limits, and each step is logged so you can see exactly what happened.

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How to Build a Repeatable AI Research Workflow for Market Analysis

Actus · September 29, 2026

AI researchmarket analysiscompetitive researchbusiness intelligenceActus Agent

How to Build a Repeatable AI Research Workflow for Market Analysis

Market research should inform decisions, not become a separate project that delays them. An AI research workflow can collect information, verify sources, identify patterns, and organize findings so that analysis becomes faster and more consistent.

Define the research question first

An agent cannot decide what matters. The human must state the question: Are competitors targeting a specific niche? What services do nearby businesses offer? Which local companies lack a basic digital presence? What objections appear in reviews? A clear question limits scope and prevents the agent from collecting everything.

Identify trusted sources

Not all information is equal. An official business website is usually stronger evidence than a forum comment. A recent review matters more than an old directory listing. Set source priorities: primary sources first, then verified profiles, then aggregated directories. Always capture the source URL and date.

Use structured extraction

Tell the agent which fields to collect. For a local competitor analysis, fields might include company name, domain, services offered, service area, pricing transparency, call to action, contact options, review count, and observed gaps. Consistent fields make comparison possible.

Separate facts from interpretation

An agent should record what it observes, not invent conclusions. “The site has no pricing page” is a fact. “The company is probably struggling” is speculation. Keep observations objective and let the human decide what they mean.

Build a repeatable Actus workflow

Actus Agent can accept a research question, a target list or geography, the required fields, source rules, and output format. It can visit sites, extract data, check for duplicates, and compile a structured report. The workflow should store what was researched so future runs do not repeat the same work unnecessarily.

Review and refine

Sample the results. Check whether sources match the fields, whether the agent followed exclusion rules, and whether the output actually answers the question. Adjust the brief when the agent misunderstands scope or introduces unverified claims.

Measure research quality

Track source completeness, duplicate rate, correction frequency, time saved, and whether the findings changed a business decision. High volume with low trust is not progress.

Conclusion

AI research works when the question is clear, sources are defined, and facts are separated from guesses. Build a workflow that can repeat the process without losing consistency. Explore structured research workflows at https://actusagent.cc.