AI Research Agent
Reads the sources so your team does not have to
5 of 8 research claims need attention.
8 research claims checked. 5 flagged. The longest delay is 606 days.
Start with Growth rate. News article has the most flagged.
Whether a source is credible is a judgement call; the list shows claims that are unverified, rest on one source, or are over a year old.
Why rows were flagged
- Rests on a single source44%
- Not verified33%
- Retrieved over a year ago22%
Value flagged by Source
- News article1
- Website1
- Blog1
- Internal1
- Patent office1
Items to act on, worst first
| Item | Source | Value | Days since retrieved | Why |
|---|---|---|---|---|
| Growth rate | News article | 1 | 12 | Not verified, Rests on a single source |
| Competitor pricing | Website | 1 | 10 | Not verified, Rests on a single source |
| Industry trend | Blog | 1 | 5 | Not verified, Rests on a single source |
| Customer survey | Internal | 1 | 606 | Rests on a single source, Retrieved over a year ago |
| Patent count | Patent office | 1 | 500 | Retrieved over a year ago |
What to do this week
- Resolve Growth rate first: it is the most urgent on the list.
- Fix the data or the status on every flagged row, then re-run.
- Re-run this check every time the list changes, before it reaches a decision.
Do
- Fix the highest-risk item first, then run the check again on fresh data.
Don't
- Don't act on one row alone: open the source record first.
How to improve
- Add more detail per row (owner, date, source) so the next report can trace each item.
- Add a second period of data so the next report can show whether things are improving.
Demo
Overview
Give it a research question and a set of sources. It reads each one, extracts the claims relevant to your question, and synthesises them into an answer where every claim is traceable to the page it came from.
Disagreements between sources are surfaced rather than averaged away, and gaps in the evidence are named.
Benefits
10+ sources
Hours of reading compressed
One pass across the whole source set.
Traceable
Every claim can be checked against its source.
Names the disagreements, not just the consensus
Where sources conflict it reports both sides rather than averaging them into a sentence that no source actually supports.
What it does
Multi-source reading
Reads every supplied URL rather than summarising from memory.
Claim-level citations
Every claim names its source.
Disagreement surfacing
Conflicting sources are flagged, not averaged.
Named gaps
States what the sources do not establish.
What this changes
What this changes about your week
- It takes over
- Reading a stack of sources and producing a cited synthesis.
- Done today by
- Whoever asked the question, badly, or not at all.
- How often
- Every decision that needs evidence.
- Typical manual effort
- Reading twenty sources properly is a day.
Why Research in particular. Every claim is cited, so the brief can be checked rather than believed — which is the difference between research and an opinion with references.
Runs unattended
Started by you or by an event, and it finishes on its own. Nothing waits for someone to be at a desk.
The same standard every time
The two-hundredth item is held to the bar the first one was. Consistency is the part people cannot sustain.
It cannot act on its own
AI Research Agent has no path to sending, spending or committing. That limit is why its output is safe to act on.
How it runs
This agent runs server-side through the PROMIVO runtime. Each run is logged step by step and every tool call is permission-checked before it executes.
- 1InputValidated against the agent input schema
- 2Modelclaude-sonnet-5 with automatic fallback
- 3Toolsfetch_web_page, summarize_text, extract_structured_data
- 4PermissionsRuns READ actions automatically; anything higher waits for approval
- 5OutputStructured result matching the output schema
- 6LoggingTokens, duration and every step recorded
Requirements
Integrations
No integrations required.
Before you start
- A research question
- The source URLs, or the documents themselves
- Available on every plan
Use cases
Competitor scanning
Read across competitor sites and coverage.
Market briefing
Build a grounded internal briefing.
Pricing
Free
Free to deploy. Runs are metered against your plan allowance.
Runs consume your plan allowance for agent executions and tokens. See plan limits
FAQ
Can it search the web itself?
No. It reads the sources you give it — URLs, or a PDF or document you attach — and names what it could not reach in unreadSources rather than inventing a result.
What if a source will not load?
It comes back in unreadSources rather than being quietly skipped, so you can see the synthesis was built without it and decide whether that matters.
Who pays for the AI usage?
You do, on your own provider key. Research is the most input-heavy agent here — every source is read into the run — so the number of sources is what drives the cost.
Reviews
Reviews open once customers have run this agent.
Need this agent to work differently?
Tell us what to change and our team will scope a customised version for your business.
Customize this agent