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Arnav

Arnav

@arnavgoel_

Product @ Pitcrew | Ex-PM @Swiggy

Bangalore Katılım Ağustos 2020
48 Takip Edilen24 Takipçiler
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Rishi Kulkarni
Rishi Kulkarni@rishikulkarni·
This is the one reason there is potential for multiple harnesses in an org. Each harness provides the ability to encode environment, guardrails, interventions and tools for a given set of outcomes, evolving into batteries-included harness managed by "Harness success managers"
Aaron Levie@levie

The more enterprises I talk to about AI agent transformation, the more it’s clear that there is going to be a new type of role in most enterprises going forward. The job is to be the agent deployer and manager in teams. Here’s the rough JD: This person will need to figure out what are the highest leverage set of workflows on a team are (either existing or new ones) where agents can actually drive significantly more value for the team and company. In general, it’s going to be in areas where if you threw compute (in the form of agents) at a task you could either execute it 100X faster or do it 100X more times than before. Examples would be processing orders of magnitude more leads to hand them off to reps with extra customer signal, automating a contracting review and intake process, streamlining a client onboarding process to reduce as many straps as possible, setting up knowledge bases than the whole company taps into, and so on. This person’s job is to figure out what the future state workflow needs to look like to drive this new form of automation, and how to connect up the various existing or new systems in such a way that this can be fulfilled. The gnarly part of the work is mapping structured and unstructured data flows, figuring out the ideal workflow, getting the agent the context it needs to do the work properly, figuring out where the human interfaces with the agent and at what steps, manages evals and reviews after any major model or data change, and runs and manages the agents on an ongoing basis tracking KPIs, and so on. The person must be good at mapping the process and understanding where the value could be unlocked and be relatively technical, and has full autonomy to connect up business systems and drive automation. This means they’re comfortable with skills, MCP, CLIs, and so on, and the company believes it’s safe for them to do so. But also great operationally and at business. It may be an existing person repositioned, or a totally net new person in the company. There will likely need to be one or more of these people on every team, so it’s not a centralized role per se. It may rile up into IT or an AI team, or live in the function and just have checkpoints with a central function. This would also be a fantastic job for next gen hires who are leaning into AI, and are technical, to be able to go into. And for anyone concerned about engineers in the future, this will be an obvious area for these skills as well.

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Gabe Monroy
Gabe Monroy@gabemonroy·
Just took on the CTO role at Workday. Every enterprise is about to rebuild around agentic AI — and with Workday serving as the system of record for people and money across the Fortune 500, I’m focused on building the rails that make AI safe, compliant, and real. Stay tuned 😀
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Arnav
Arnav@arnavgoel_·
Thats also why we see suggested questions, demos and many directions of paths shown by LLM websites to nudge the user to try out some usecase. The "I'm feeling lucky" of the LLM world. While we take existing patterns from the search playbook 30 years back, its a stepping stone and not the final solution IMO.
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Hardik Pandya
Hardik Pandya@hvpandya·
The biggest issue with replacing all purpose-built UI with a text box is that it shifts the burden of figuring out how to get to the right intentful UI, on the user. It sounds easy for the makers. Easy to justify too. The feeling of ‘simplifying complex interfaces’ that has eluded most enterprise software builders for decades. If you’ve built anything at scale, you know users don’t intuitively figure out ‘what to prompt’. An empty text box, just like the empty document is one of the hardest starting points for any clear JTBD. On top of that there’s a million other issues too: the system you can only ‘look through’ a small prompt box is inherently un-navigable. And what’s un-navigable is unusable at scale. Such a system also does NOT expose its capabilities to the user. What’s the scope of things I can ask here? What do I type for what I want? What if my input is imprecise? A text box is not the end-all UI for enterprise software. We need to do better.
Rabi Shanker Guha@rabi_guha

notice something? Linear, PostHog, Attio - all shipped the same thing in the last few weeks. Homepage is a chat bar - not a dashboard. This is the SaaS industry quietly admitting that traditional UI doesn't work anymore. Every user is different. One homepage can't serve them all. The playbook is shifting: → expose your core APIs → connect an agentic layer → let users use software the way they want SaaS became chat. Chat will become Generative UI - the agent won't just reply in text, it will compose the interface itself. We're closer than people think.

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Arnav
Arnav@arnavgoel_·
Shift to chat UI will be the stopgap before new patterns evolve. If users want to "vent" their need, the chat UI gives them space. If they want to repeat workflows over and over again, the UI will have to evolve to solve that need! Pitcrew solves this with factory factory.gopitcrew.com
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Rabi Shanker Guha
Rabi Shanker Guha@rabi_guha·
notice something? Linear, PostHog, Attio - all shipped the same thing in the last few weeks. Homepage is a chat bar - not a dashboard. This is the SaaS industry quietly admitting that traditional UI doesn't work anymore. Every user is different. One homepage can't serve them all. The playbook is shifting: → expose your core APIs → connect an agentic layer → let users use software the way they want SaaS became chat. Chat will become Generative UI - the agent won't just reply in text, it will compose the interface itself. We're closer than people think.
Rabi Shanker Guha tweet mediaRabi Shanker Guha tweet mediaRabi Shanker Guha tweet media
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Arnav
Arnav@arnavgoel_·
Made a small website that feels like finding an old book you didn’t know you were looking for. Ten stamps. Ten quiet stories. An ode to encyclopaedias and the art of the small tale. Stumble through it and move on, that’s the whole point! stamp-book-hazel.vercel.app
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Rishi Kulkarni
Rishi Kulkarni@rishikulkarni·
@nbobba factory.gopitcrew.com is our vision. We want to work with partners and channels who are eager to deploy intelligence for finserv. It's the CI/CD/CO for AI
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Rishi Kulkarni
Rishi Kulkarni@rishikulkarni·
💯 "That's the mental model. You don't need a new agent for every use case. You need a harness flexible enough to serve different roles and robust enough to support skills, plugins, scheduled tasks, and whatever comes next. The harness is the product."
Tony Kipkemboi@tonykipkemboi

x.com/i/article/2032…

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Rishi Kulkarni
Rishi Kulkarni@rishikulkarni·
@asmah2107 At @GoPitCrew we visualise a workflow as a Kanban. Each task or swimlane can a subagent (wrapped in an eval).
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PitCrew Agents
PitCrew Agents@GoPitCrew·
PitCrew agents co-plan with you to build a Kanban board for your workflow, Pitcrew orchestrates and monitors the work and spawns agents to handle the tasks. The agents gets the work done, provides proof of work, and runs evals against the proof. @TweetSamG @rameshmay @rishikulkarni
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PitCrew Agents
PitCrew Agents@GoPitCrew·
Destination: New Orleans 📍 The PitCrew is taking over Booth 528 at the T3 Technology Tools for Today conference next week, all week! We’re combining the power of AI for financial services with the unmatched energy of Mardi Gras. Don't miss out on the vibe! See you there! 🎭✨ @t3techhub @TweetSamG @rishikulkarni
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