ResearchinStrawberry
Strawberry is your newest hire on the research team.
Think of Strawberry like a sharp analyst who can read a hundred sources at once but needs a bit of training first. It can take the scoping, the gathering and the cross-referencing off your plate - but the job in 2026 isn't finding information, it's trusting it, so you stay the one who verifies. Get to know each other before you hand over the big stuff.
How to set up your research agent
Share your context. Import from your old browser, import your memories from ChatGPT, Claude or Gemini, and connect the places your sources live - your docs, sheets, news and any databases you work from.
Talk to your agent however is fastest: type it, or just use voice.
Share your plate. Tell it the question you're chasing, what decision it feeds, and how deep you need to go, then ask your companion for suggestions. The goal is to walk away with a few concrete use cases you can run today.
Five concrete use cases
Scope the question before you gather
Define: Hand it the vague ask - "should we move into this market," "who is this company really" - and tell it what decision the answer has to support.
Execute: Strawberry turns it into 5-8 answerable sub-questions and tells you which sources would settle each one, so you gather against a plan instead of drowning in tabs. Narrowing first is the move serious researchers make before they search a single thing.
Save as a skill, then turn it into a routine that scopes every new research request the same disciplined way.
It pairs naturally with data extraction for turning sources into structured tables, meeting prep for briefing yourself before a call, and the primer on what an agentic browser is if you're new to the idea.
Take this research question and break it into 5-8 answerable sub-questions, and for each one tell me which kind of source would actually settle it. Let's brainstorm this, interview me!
Gather across many sources in parallel
Define: Point it at the source types that matter for your question - pricing pages, reviews, job posts, filings, press, news - and how wide to cast.
Execute: Strawberry runs an agent per source and reads across all of them at once, which is exactly where a human hits the wall: one person can keep up with about 15-20 sources, and real work needs more. You get a structured pile back instead of 40 open tabs.
Save as a skill, then turn it into a routine that gathers fresh material on your topic on a schedule.
Research [topic] across pricing pages, reviews, job postings, filings and recent news at the same time, and bring me back what each source says with a link. Let's brainstorm this, interview me!
Verify and cross-reference
Define: Give it the claim you need to stand behind and tell it how many independent sources you want before you'll trust it.
Execute: Strawberry triangulates the claim across independent sources, surfaces where they disagree, and hands you an open citation trail you can click - the antidote to the real 2026 problem, where AI search tools were wrong on more than 60% of citation queries and over half of some models' answers pointed to fabricated or broken links. A claim from one source is a lead; a claim corroborated by three is a finding.
Save as a skill, then turn it into a routine that runs a verification pass on every draft before it ships.
Verify this claim: find at least three independent sources, tell me where they disagree, and give me a clickable citation for each. If you can't confirm it, say so. Let's brainstorm this, interview me!
Map a market, company or competitor
Define: Name what you're mapping and the frame you want - direct, adjacent and replacement competitors, a SWOT, a list of likely next moves.
Execute: Strawberry gathers the inputs and lays them into a structured table you can hand to a decision, segmenting competitors and pulling the signals - pricing, hiring, launches - that tell you what someone is about to do, not just what they did.
Save as a skill, then turn it into a routine that refreshes the map every quarter.
Map the competitors for [company or market] into direct, adjacent and replacement, with a short SWOT each and one likely next move, in a table with sources. Let's brainstorm this, interview me!
Monitor a beat
Define: Tell it the topic, companies or people to watch, and what counts as worth flagging versus noise.
Execute: Strawberry watches your sources and surfaces only what changed - a price move, a new hire, a filing, a story - so coverage doesn't silently degrade the way it does the moment a beat grows past what one person can read.
Save as a skill, then turn it into a routine that checks your beat every morning and sends you only the new, relevant items.
Watch [topic and the key players] and every morning send me only what's new and relevant, with a one-line why and a source for each. Let's brainstorm this, interview me!
Be creative
Strawberry doesn't just help with what you already do - it can take on things you haven't had time for, or didn't think were possible.
What are some more ways you can help me with research? Here are a few I'm curious about - push back and add your own.
- Source vetting: check a source's track record and ownership before you cite it.
- Document digging: read a long filing, transcript or report and pull only the parts that answer your question, with page references.
- Reverse-check a claim: trace a number or quote back to where it actually came from.
- Brief from the pile: turn your verified findings into a clean, structured first draft with the citations attached.
Get your team on board
Help me get my whole team set up on Strawberry.
- Create a team: free, shared workspace with unified billing and admin controls.
- Share companion, context and skills so everyone works to the same standard of sourcing and verification.
Treat it the way you'd treat a fast junior researcher: it does the legwork at scale, you own the verification. That's why every finding comes with a clickable source - so you can open the primary document yourself before you stand behind it.