Second Eyes helps you sort photos, understand the shortlist, and make the final call. For business briefs or personal needs, see why each photo was shortlisted and what still needs checking. You decide what to publish. Explore a real media editorial project involving 404 source files, then try six public sample photos to see how your requirements reshape the shortlist. This demo uses a recorded review. No uploads yet. Would you use this with your own photos? Share your workflow in the comments.
What became possible in your product with Astra that was not practical before?
Maker
Astra made it practical for us to turn Second Eyes from a workflow we operated and explained ourselves into a self-service sample experience.
Astra inspected the existing code and Workroom, preserved its evidence-first contracts, and implemented the smallest usable visitor experience. People can choose from six public sample images, adjust supported brief requirements, inspect Shortlist / Needs Review / Remaining, see coverage gaps and reasons, and download their own editorial decision.
It also made an important product judgment: defer private uploads until the necessary data boundaries exist. The sample therefore uses recorded observations and existing deterministic rules, clearly disclosed to visitors.
What became practical for us was having one agent carry the work from understanding an existing product and making a scoped product decision through implementation, verification, and a reviewable handoff—while preserving provenance, uncertainty, and human authority.
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Maker
📌
Hi Product Hunt — I built Second Eyes because the hard part of a large photo archive is rarely storage. It’s deciding which few images are worth a human’s final attention.
For this run, we gave GPT-6 Astra a publishing brief and a 404-file source corpus. Astra reviewed the assets it could access, reported 3 HEIC files it could not decode, selected 12 editorial references for IG and Reels, documented its reasons, and turned the result into two human-ready review workrooms.
What interested me most was that the output wasn’t just a list of filenames. Astra completed the whole workflow: inspect, narrow, explain, report failures, and hand the work back to a human.
Second Eyes is deliberately built around one principle: the model can make judgments, but it should never have to pretend it saw something it didn’t.
I’d love to hear how others would use this: creative archives, publishing, photography, brand teams, or something completely different.
I’d love to hear what makes sense—and where you get stuck.
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💡 Bright idea
@crystal32378 can the selection criteria be customised for different brands ?
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Maker
@dipanshu_kushwaha5 That's the good question! Not in this demo — however, we could put you in the waitlist since I productize for all the brand marketing team.
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Maker
Being part of the Second Eyes team, I found the sample really interesting. What stood out to me is that changing the brief actually changes what deserves attention, while the interface makes the reasoning and gaps visible.
It feels less like “AI chooses for you” and more like “AI helps you get the evidence into shape so you can make the call.”
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Maker
@khushi_singh48 Couldn't have said it better — evidence into shape, human makes the call. That's the whole thesis in one line.
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Maker
Really interesting approach! Love how it combines AI automation with human judgment.
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Maker
@vaishnavi_212 Thank you! That combination is the whole bet — automation does the narrowing, judgment stays human. Which side would you push further if it were yours?
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Maker
Question for the room: what would you point Second Eyes at first — wedding archives, product shots, or social content? We started with a 400-photo IG/Reels edit, curious where else this breaks or shines.
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💎 Pixel perfection
This looks really interesting, The idea of using AI to help shortlist photos while explaining why each one was selected could save a lot of time. Excited to see how Second Eyes works in real-world workflows.
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Maker
@raja_kumar60 Thank you Raja! The "why" per photo is exactly the bet — most tools give you a ranking with no receipts, we keep the reason attached so the human can overrule it. Curious: what kind of shoots would you throw at it first? Weddings, product, events?
Want to give Second Eyes a try?
Try the 6-photo sample: https://crystal32378.github.io/second-eyes-agent/try/
Take the 8-step guided tour: https://app.supademo.com/demo/cmtzzoxqr03awvn0j61al17v3
I’d love to hear what makes sense—and where you get stuck.
@crystal32378 can the selection criteria be customised for different brands ?
@dipanshu_kushwaha5
That's the good question! Not in this demo — however, we could put you in the waitlist since I productize for all the brand marketing team.
Being part of the Second Eyes team, I found the sample really interesting. What stood out to me is that changing the brief actually changes what deserves attention, while the interface makes the reasoning and gaps visible.
It feels less like “AI chooses for you” and more like “AI helps you get the evidence into shape so you can make the call.”
@khushi_singh48 Couldn't have said it better — evidence into shape, human makes the call. That's the whole thesis in one line.
Really interesting approach! Love how it combines AI automation with human judgment.
@vaishnavi_212 Thank you! That combination is the whole bet — automation does the narrowing, judgment stays human. Which side would you push further if it were yours?
Question for the room: what would you point Second Eyes at first — wedding archives, product shots, or social content? We started with a 400-photo IG/Reels edit, curious where else this breaks or shines.
This looks really interesting, The idea of using AI to help shortlist photos while explaining why each one was selected could save a lot of time. Excited to see how Second Eyes works in real-world workflows.
@raja_kumar60 Thank you Raja! The "why" per photo is exactly the bet — most tools give you a ranking with no receipts, we keep the reason attached so the human can overrule it. Curious: what kind of shoots would you throw at it first? Weddings, product, events?