Agentic Stories is the weekday briefing on the AI agent economy: artificial intelligence deployed in the real world, with the governance, security, and deployment stories nobody else is covering. New episodes Monday, Wednesday, Friday, plus a weekly newsletter. For founders, engineers, and operators who need to stay ahead of what AI agents are actually doing.
20
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality39
Social0
YouTube0
Engagement0
Podcast Overview
Agentic Stories is the weekday briefing on the AI agent economy: artificial intelligence deployed in the real world, with the governance, security, and deployment stories nobody else is covering. New episodes Monday, Wednesday, Friday, plus a weekly newsletter. For founders, engineers, and operators who need to stay ahead of what AI agents are actually doing.
Language
🇺🇲
Publishing Since
8/21/2024
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20
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality39
Social0
YouTube0
Engagement0
6
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11
Growth Opportunities
excellent
Episode Length
17 minutes
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20 episodes over 1.0 years
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Every 19 days
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Recent Episodes
May 28, 2026
Deep Dive: Naman of Manicule | The AI-Native Studio Writing Docs for Agents
<p>Deep dive with Naman, co-founder of Manicule — a YC Spring 2026 studio that writes end-to-end documentation for developer tools companies, with a specific focus on making those docs readable by AI agents, not just humans.</p><p>Manicule is a studio, not a product, and that distinction is the whole thesis. They work with seed to Series B developer tools companies that know documentation matters but do not have a dedicated DevRel function or the founder bandwidth to build it. Manicule comes in for the full process: talk to the engineers, understand the codebase, design the information architecture, write the pages, verify the code, create diagrams and screen recordings, and then maintain the docs so they do not drift out of sync with the product. They ship a complete project in two weeks, which Naman says is the fastest in the industry against a baseline closer to a month for a single writer.</p><p>The technical core is a pipeline of internal sub-agents. A client installs a GitHub app, and Manicule's agents explore the codebase, build a separate repository of context about how the product works, and carry that understanding into the writing process. The same approach works for UI-based products, where agents navigate the actual interface to understand it rather than just reading code.</p><p>The part that fits this show is Manicule's bet on documentation for agents. Naman's view is that a human reading a page to learn something needs content written in a fundamentally different style than an agent consuming the same page. One concrete finding: adding an explicit anti-pattern section to agent-facing content measurably improves how well agents use a product, because some mistakes are so ingrained that an agent will keep repeating them unless told directly not to. Manicule writes separate content for humans and agents on the same docs, and is benchmarking approaches as the field figures itself out in real time.</p><p>Naman is direct about why this is not a fully automated product. Agents can produce a first draft, but he still spends around two hours per page bringing it to a publishable standard. His argument tracks the Sequoia thesis that AI-native services are the next big category, because clients do not want docs, they want outcomes, and outcomes require accountability that a standalone tool cannot provide.</p><p>Also covered: how Manicule got into YC by pitching a completely different idea and pivoting in the interview room, why the founders first applied to YC at 15, why a billion-dollar competitor in your space is not the threat founders think it is, and a fully manual cold email strategy that caps at five or six sends a day.</p><p>—</p><p>Agentic Stories is the weekday briefing on the AI agent economy — governance, security, and deployment. Deep Dives drop on off-days with founders building in the space. New episodes Monday, Wednesday, Friday.</p><p>agenticstories.ai</p>
May 21, 2026
Deep Dive: Varun and Kratik of Kinect | Dynamic Storefronts for Humans and AI Agents
<p>Deep dive with Varun and Kratik, co-founders of Kinect — a YC Spring 2026 company building dynamic e-commerce storefronts that adapt in real time to every visitor, including the AI agents that are starting to shop on their owners' behalf.</p><p>Both founders met at Reevo, where they were building personalization for B2B sales teams. The signal they kept seeing across e-commerce friends was that DTC product pages are still one-size-fits-all in 2026, even though every user lands from a different ad, a different platform, a different intent. A friend in e-com asked them to build something for him. That conversation became Kinect.</p><p>The product reads the inputs every visitor brings to a page: where they came from, what device they are on, what they have clicked, what filters they have used, what they have typed into search. Then it quietly reorders product images, rewrites descriptions, and adapts the surface to match what that visitor is actually looking for. The change happens before the page renders, so it does not look like a transformation — it looks like the page was always going to look that way for them. An AI sales assistant sits in the corner of the page, answering questions, surfacing constraints, and condensing the discovery loop that usually takes a real associate inside a physical store.</p><p>The forward-looking part of the conversation is where Kinect gets sharp. AI agents are starting to be customers, not just users. Varun caught himself asking an agent for gift ideas for a friend's birthday. That agent then visits brand websites on his behalf. The current generation of browser agents struggles with modern e-commerce because the pages were built for humans navigating pop-ups and scroll-heavy layouts. Kinect's view is that the interface of the future is agent-to-agent — a buyer's agent talking to a brand's sales agent, with the storefront acting as the translation layer between them.</p><p>One of Kinect's early brands is seeing a 25% add-to-cart rate, against an industry baseline closer to 5%. They are working with DTC brands across protein supplements, apparel, and consumer goods, with Kinect deliberately white-labeled so visitors do not know they are interacting with it.</p><p>Also covered: why San Francisco is the wrong city for e-commerce sales (Kinect is on the road in LA, New York, Kansas City, and Austin), the YC environment and the density of talent in the Spring 2026 cohort, why every founder should apply to YC even if they do not get in, the kind of first hire they are looking for next, and a brief case study on a protein-plus-electrolyte brand whose discovery problem Kinect solved in onboarding.</p><p>Kinect is hiring. They are looking for a high-agency generalist growth hire who can show up to conferences, message people on LinkedIn, and bring DTC operators into a room.</p><p>—</p><p>Agentic Stories is the weekday briefing on the AI agent economy — governance, security, and deployment. Deep Dives drop on off-days with founders building in the space. New episodes Monday, Wednesday, Friday.</p><p>agenticstories.ai</p>
May 12, 2026
Deep Dive: Cyrus Kelly of t.day - On-Brand Editable AI Graphics
<p>Deep dive with Cyrus Kelly, co-founder of tday — a YC Spring 2026 company building AI-generated graphics that stay on-brand and stay editable.</p><p>Cyrus and his co-founder were building communities.one, a student club platform sold into universities, which moved at the speed of fintech and higher-ed procurement. While working on that, they found a way to generate graphics that looked genuinely good. The first output was impressive enough that Cyrus dropped everything and submitted to YC three weeks later. They were accepted at the interview, on the same day.</p><p>Tday outputs layered designs with individual components you can move, edit, and republish, similar to working in Canva or Adobe Illustrator. Brand consistency comes from a pre-processing layer that pulls the existing graphics, fonts, and colors from your website and constrains the AI to match.</p><p>The product is in active expansion. Video generation just shipped, the team brought on someone with deep expertise in it, and Cyrus is planning to use only tday-generated output for their own YC launch video. A GitHub integration is coming that auto-generates a social media post whenever a feature merges to main. Pricing runs from $12 a month to $120 a month, with usage as the only variable across tiers.</p><p>Also covered: why being good at prompting is a high bar tday explicitly does not assume of its users, the abstracted design plan that gets generated whether you want to see it or not, the path tday is on to auto-optimize ad campaigns by regenerating creative to match audience response, the early enterprise pull from Stone and Chalk, and Cyrus's view that there has never been a better time to start a company.</p><p>—</p><p>Agentic Stories is the weekday briefing on the AI agent economy — governance, security, and deployment. Deep Dives drop on off-days with founders building in the space. New episodes Monday, Wednesday, Friday.</p><p>agenticstories.ai</p>
44 total episodes available
Deep-dive analytics for Growth Stories
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- What is Growth Stories?
- How often does this podcast release new episodes?
This podcast updates bi-weekly.
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This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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No, this podcast does not typically feature guests.
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