AI writes the code. ThinkSpark makes it research-grade.
Anyone can generate software now. Building a tool you can trust with real research, real participants and real data is something else. Members get hands-on support at every stage, each one built around a principle research already runs on.
Contact us to joinIllustration
Support at every stage of the research lifecycle
Seven stages, from first question to a tool that outlives the project. Each one is anchored to a research principle, so the support is about rigour, not just code.
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01ScopeValidity
Measure what you mean to measure.
Scoping sessionsTurn a research question into a buildable spec, and agree up front what evidence would show the tool works.
Prior-art checkFind out what already exists before you build, so your tool adds something new to the field.
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02BuildTransparency
Every step documented.
The coreThe Starter KitOur playbook for building with Claude Code, from first setup to the verification habits that keep AI-built tools honest.
Member-led tutorialsWalkthroughs from researchers who have already shipped, in your field's language, not an engineer's.
Builder buddiesEvery new member is paired with someone who has taken a tool all the way to release.
Build clinicsBring what you're stuck on and work through it live with people who have hit the same wall.
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03ValidateReliability
Right answers, every time.
Validation studioTest the tool against known answers and gold-standard data. Code that runs is not the same as code that's right.
Stress testsEdge cases, messy inputs and failure modes, found before your participants find them.
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04ProtectIntegrity
Participants first.
Ethics and data deskConsent flows, data minimisation and guidance on ethics approval, designed in from day one.
Security reviewPeople, not just AI, check AI-written code before anything reaches a participant.
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05ReviewPeer review
No tool ships unchecked.
Lab peer reviewSix stages, modelled on journal peer review, from submission to published reports.
Cross-disciplinary critiquesResearchers from other fields try to break your tool and tell you what it misses.
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06PublishOpen science
FAIR by default: findable, accessible, interoperable, reusable.
Release and citationOpen licence, DOI and citation file, so your tool can be found, reused and credited.
Demo nightsShow what you've built, get feedback, and meet the people who will use it.
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07SustainReproducibility
Built to outlast the project.
GraduationA planned handover to a research group, with the documentation to run it for years.
Maintenance watchWhen AI models or dependencies change, the lab flags what might break, before it breaks.
Failure libraryHonest write-ups of what went wrong in past builds, so no one repeats them.
Built like research. Held to it, too.
Every tool we release is open source.
Tools show what they know, how sure they are, and where it came from.
Anyone can trace how a result was produced, and produce it again.
Tools collect only what the research needs, and nothing more.
Every release goes through a security review first.
Documented so a research group can own it long after we're done.
Every tool is peer-reviewed. Exactly like a paper.
Our review process follows the journal model, step for step. A tool doesn't ship until it's been through all six.
- STEP 1Submission
The author submits the tool with a methods note: what it does, how it was built, and what it can't do.
- STEP 2Editorial screening
The lab's editor checks scope and completeness. Incomplete submissions go back before review begins.
- STEP 3Independent reviewers
Two reviewers from outside the tool's team are assigned. Their identities stay anonymous to the author.
- STEP 4Reviewer reports
Each reviewer tests the tool, assesses methods, correctness, security and usability, and recommends: accept, minor revisions, major revisions or reject.
- STEP 5Response to reviewers
The author revises the tool and answers every point in a response letter. Reviewers check the revision.
- STEP 6Decision and publication
Accepted tools are released open source, with the review reports published alongside and a DOI so the work can be cited.
Got a question worth building?
Tell us your field, your question, and the tool you wish existed. Your idea stays yours: we'll help you build it, or pair you with a lab member to build it alongside you.
hello@jointhinkspark.com