Illustrative UI concepts, not real user chats or a working feature.
Interaction idea that anytime a llm asks a question , that section pops out seperately with a visual differentiation with a yes / no button with optional text so that the cognitive load on the human is lower
Personal note ·
there should be a community-noted-score on accounts will go a step further in discouraging engagement baiting accounts constantly posting in bad faith
An on-demand AI data scientist on Twitter.
Named as Gagan’s side project and described as an on-demand AI data scientist.
Gagan’s ADPList profileAn AI interviewer that turns a project conversation into interview flashcards, with supporting quotes kept separate from the written story.
The prototype separates the written case, supporting quotes and original answer audio. These are different kinds of evidence about the same account.
Implemented workflowThe public prototype is available. A complete browser voice interview and the usefulness of its generated flashcards still need validation; adoption results are not yet reported.
Current scopeA voice-first family-memory prototype that keeps original words, generated narration and unknowns distinct.
The source includes bounded interview follow-ups and separate displays for narration, source material and unknown information. Sample and live-provider modes are explicit.
Implemented prototypeThe prototype is documented, but I have not established how well the full voice flow works or whether families use it and return to it. Public examples should use fictional or consented material.
Current scopeTurns saved X bookmarks and linked articles into a finite, private edition that can be printed.
The recorded demo produced a PDF from explicit sample data and checked that access was scoped to the owner.
Prototype records, August 2026Whether readers finish more material, and whether paid printing and delivery work, remain unmeasured.
Open hypothesisAn AI video editor for my podcast and cricket footage.
Research viral cricket shots and videos.
Break down and identify their editing styles.
Apply those techniques to my own cricket footage.
Used for my podcast as well as cricket footage. The stages above describe the cricket workflow.
Gagan’s scope updateA proposal for adding an instruction to a specific step of an agent task and seeing whether the agent can still include it.
A proposal for adding an instruction to a specific step of an agent task and seeing whether the agent can still include it.
I asked an agent to put a holding page on my portfolio. While it was working, I wanted to add LinkedIn alongside my X profile. The change was small. Knowing whether the instruction would reach the right part of the work was harder.
I could send another message, but I could not easily see whether the agent was still preparing the page, had already updated the links, or was about to deploy. I wanted to steer the work without stopping it and without triggering a second deployment.
I would start with a short, visible map of the current turn. A new instruction could refer to one of its steps. I could ask to include LinkedIn in the profile-links step and see an acknowledgment beside the affected work.
When I send an instruction, I want to know whether the agent can still include it in the deployed result. An acknowledgment should tell me that, beyond confirming receipt.
The first MVP could be text: the steps, the current position and the acknowledgment beside the affected step. A visual component can follow once the underlying state is reliable.
A flow to test. In this example, a new instruction targets the profile-links step.
I would define when a change needs another pass. Updating a local file and deploying a public page are different events. The interface should show whether there is still time to include the change, without making me understand the agent’s internal machinery.
I would keep this as a proposal until the steps and acknowledgments reliably match the work. A reassuring but inaccurate status would leave me with the same uncertainty.
I would give people a small change while an agent task is in flight. I would check whether they can tell if it was included, whether they repeat themselves less, and how often the task needs another deployment. I would also check whether maintaining the map slows the work down.
I would also check whether the map and acknowledgments stay accurate when an instruction arrives after its step has finished.
Paper IRL explores whether turning saved X bookmarks into finite, private editions helps readers return to material they already chose.
Paper IRL explores whether turning saved X bookmarks into finite, private editions helps readers return to material they already chose.
People save posts because they want to return to them. The collection grows, but reading competes with the same feeds and interruptions that created the collection. Paper IRL starts with an edition that can be finished.
The reader has already chosen the material by saving it. I want to turn it into a private physical edition they can sit down and finish.
The saved material carries the reader’s intent, so the early product does not need to invent a ranking score. Source links and context help preserve what was saved. The edition needs to be readable and finite.
I would judge the early experience by whether a reader can sit down with an edition and finish it. I would add more material or more ways to browse only if they help with that. I still need to test whether this changes reading behavior.
Printing and delivery would remove another chore. I can promise them only after the order path works; producing a print-ready file is one step.
The prototype records describe HTML and PDF files with access scoped to the owner, an explicit sample mode and output that preserves the source material. Whether readers finish more material, and whether paid fulfillment works, remain untested.
A useful next experiment would compare what people finish from a small edition with what they revisit in their ordinary save queue. I would also ask whether the edition earns a recurring place in their week.
who doesn't like a good origin story? shared @JoinCreatorbase's from back in 2022 along with why are we building it what problems does it solve and for whom @BasedIndia @callusfbi @buildonbase @base @somewhatsahil https://t.co/yC7UxYqpqA
who doesn't like a good origin story? shared @JoinCreatorbase's from back in 2022 along with why are we building it what problems does it solve and for whom @BasedIndia @callusfbi @buildonbase @base @somewhatsahil https://t.co/yC7UxYqpqA
introducing chop an onchain clipping platform within Creatorbase brands can get their own content amplified via 1000s of creators or clippers or choppers, you get the drift creators get paid per view more people or agents (we don't judge) - can now participate in the onchain creator economy win win for both the brands and the creators will be sharing a more in depth "why tf are we doing this" video separately this is a product demo video shipping fast is a muscle that we are developing and i am happy to move with this pace we are now platform for you to get fresh ugc content created for your brand AND also get your core content library amplied dont let your brand content die at the hands of the social media algos so if you are a brand, please reach out to me here or in the dms or just sign up with the link in the comments same for all you creators, sign up to the early access list using the link chop chop!
introducing chop an onchain clipping platform within Creatorbase brands can get their own content amplified via 1000s of creators or clippers or choppers, you get the drift creators get paid per view more people or agents (we don't judge) - can now participate in the onchain creator economy win win for both the brands and the creators will be sharing a more in depth "why tf are we doing this" video separately this is a product demo video shipping fast is a muscle that we are developing and i am happy to move with this pace we are now platform for you to get fresh ugc content created for your brand AND also get your core content library amplied dont let your brand content die at the hands of the social media algos so if you are a brand, please reach out to me here or in the dms or just sign up with the link in the comments same for all you creators, sign up to the early access list using the link chop chop!
A physical device that sits on top of a podcaster’s desk and they tap it to research whatever assertion, data they just spoke about - using audio The conversation goes on meanwhile It does the job in the background and then beeps when done Then the conversation evolves naturally as per the new / confirmed data As someone who knows about a domain, it’s frustrating when the tangent goes off despite of good faith participants OpenAI / perplexity / anthropic should build and sponsor it
A physical device that sits on top of a podcaster’s desk and they tap it to research whatever assertion, data they just spoke about - using audio The conversation goes on meanwhile It does the job in the background and then beeps when done Then the conversation evolves naturally as per the new / confirmed data As someone who knows about a domain, it’s frustrating when the tangent goes off despite of good faith participants OpenAI / perplexity / anthropic should build and sponsor it
built this Onchain Raffle Agent that lets anyone create and run raffles in <60 seconds built on @CoinbaseDev 's Agentkit on @Replit and using @Alchemy APIs would love to hear your thoughts and feedback on it https://t.co/7jWIlL1Y3s
built this Onchain Raffle Agent that lets anyone create and run raffles in <60 seconds built on @CoinbaseDev 's Agentkit on @Replit and using @Alchemy APIs would love to hear your thoughts and feedback on it https://t.co/7jWIlL1Y3s
building onchain is more exciting and feasible than ever, thanks to @CoinbaseDev we have built an autonomous, onchain agent that rewards content creation around the onchain ecosystem in a fair, verifiable(remember the OG motto) and efficient manner. here is the demo from @ETHIndiaco
building onchain is more exciting and feasible than ever, thanks to @CoinbaseDev we have built an autonomous, onchain agent that rewards content creation around the onchain ecosystem in a fair, verifiable(remember the OG motto) and efficient manner. here is the demo from @ETHIndiaco
Connecting…
Voice or text.
Voice unavailable. Type below.
Voice session
Choose a question to send it.
Your conversation will appear here.
Want to discuss a role or project? Choose a time with Gagan.
Choose a time with Gagan ↗Choose and confirm a time on Calendly to book the call.
Audio and transcript recorded.
Starting or sending agrees to the selected recording choice. Terms & Privacy Policy