Framer AI AgentsDesign and publish professional sites with AI
Badge gives an AI agent that collects peer reviews to build proof of work. For job seekers - The agent connects to your contacts, requests anonymous reviews from your past colleagues, and builds a verified, portable trust score. score. For hiring managers - Badge gives you a 30 second reference checks on candidates, collecting authentic feedback from their actual coworkers to replace unreliable, AI-generated resumes and LinkedIn Recommendations.
GrowMeOrganic
How does Badge prevent coordinated positive reviews between close friends or former teammates??
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@iamanantgupta Great question Anant. Our AI agent acts as a moderator and will ask really detailed instance based questions to the reviewer. The reviewer cannont post a review just like you do for Google places. Agent acts as a moderator and it will create frcition for the fake / cordinated reviews
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@iamanantgupta Badge is designed to prevent cherry-picking. Rather than only allowing candidates to hand-pick who reviews them, Badge's AI agent works independently. It pulls data from your contacts to identify people you've actually worked with and reaches out to them for a review.This means the candidate has no control over who gets asked.
Congrats. How do candidates respond to critical anonymous feedback? Is there a way to provide context or growth updates?
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@ragsyme Based on the "how toxic the review is" badge, filters out the super-toxic reviews and does not make them live. For the other reviews, typically the candidate can choose to hide up to 3 reviews but it will still affect the trust score.
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@ragsyme Great question - We will take the growth updates part of the feature request. So far the agent does not provide this to the user but it can definitely do this. Thanks for this Raghav!
Making references machine-collected instead of candidate-picked fixes the cherry-picking problem, but it moves the weight onto people who never signed up: the agent reaches them through a contact book, and their honest take on an ex-colleague becomes stored data. Can a reviewer later see, edit, or delete what they contributed, or does it live in the candidate's trust score for good?
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@vollos They definitely can do all of the above but there is a 90 day cooldown period before they can make any changes in order to prevent abuse.
@raaghav_naraayan_m_v Makes sense, a cooldown is a smart way to stop people gaming their own record. Appreciate the straight answer, good luck with the rest of the launch.
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@vollos Thank you!
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@vollos TO give a review the colleague need to sign up on the app. Reviewer can delete the reviews but the trustscore as of now does not change when you remove the review.
@lokesh_motwani1 Fair enough on the sign-up point, I had that part wrong. And being upfront that deleting a review doesn't roll the score back is more transparency than most teams would give this early, so credit for that. Good luck with the launch.
Really interesting take the shift from generic praise to verified peer reviews makes a lot of sense.
Curious: how do you handle the cold-start problem for someone brand new with zero prior colleagues to vouch for them? That's usually the hardest part in any trust/reputation system.
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@mittalpatel Yes, for the cold start we have done pilots with companies and users and users have seen boost in recruiter reposnses which you see on the website
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@mittalpatel That's the part which is handled by our AI agent, which reaches out to your colleagues.
The trust score concept is solid, and seeing real feedback pulled from past coworkers feels way more honest than polished LinkedIn recommendations. Curious how it handles people who don't respond promptly.
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@hlyaixrq Our agent does the follow up. Without AI agents this was not possible. THanks for the comment
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@hlyaixrq So everyone starts at the trustscore of 60. If your colleague is not giving review to the agent, the score stays at 60. The Agent has other coworkers to reach out as well.
How does the agent actually convince busy ex-colleagues to write reviews without it feeling spammy or getting ignored, and do you offer any incentive on the candidate's side to nudge people to respond?
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@erolsabrlviy2 Yes Erol.
The toughest question we faced was - what's my incentive to give a review to someone else. So we built a currency on the plaform - TrustScore, everytime you give a review to someone, your trust score increases in propotion to the quality of the review and with higher trustscore you will have higher discoverability with recruiters on the plaform. Thanks for asking this question
How does Badge handle cases where former colleagues don't want to participate or simply don't respond, does that tank the trust score?
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@samierbaxfrc Great question Sami
So the construct for your colleague is not - "Review colleague X", its; Build your trustscore to get the best opportunities and in that construct, we nudge the colleague to review you first. So if the colleague is genuinely not interested in building his trust score and get best opprtunities, then yes what you said makes sense, but whenever he wants to get the best job, colleague will engage for his own incentive and benefits