Sameer Goel

Co-Founder - @GoPitCrew |
@LegalZoom, @Revv_so, @FreshworksInc, @Yahoo, @nokia, @greytip

[Rishi Kulkarni @rishikulkarni]

This is very first-principles practitioner notes.
Thank you!

[Rishi Kulkarni @rishikulkarni]

The Tokens of Playfulness: This the culture building exercise and the there is no way out of it than "Tokenmaxxing"

No doubt tokens are being wasted in some of the experiments but then are no easy ways to guardrail and enforce token budget while adopting a new learning curve at scale.

[Rishi Kulkarni @rishikulkarni]

This is very first-principles practitioner notes. Thank you!

"system of verifier" is perhaps a key piece to enable system of action and system of coordination.

In our own thesis we have categorised the knowledge base or SoR into 3 buckets:
AI-native (cli, headless),
AI-friendly (api, openness to access), and
Anti-AI (no schema, no access, FTP servers)

The convergence layer to these 3 buckets is: Verification i.e. How do we know an agent completed the task at hand correctly?

This could jumpstart the entire work of reverse engineering workflows into automations to autonomous agents. Instead you invest in Intent capture and outcome verifiers.

Experts, trusted technical partners, or "Forward deployed Experts" are perhaps the best option for buyers to start investing in verification infra.

PS:
The pace at which every piece in the AI stack is moving there are no technical buyer. There are just "wait and watch"-ers.

[Sameer Goel @TweetSamG]

@mcuban @rajeshsawhney Judgment is extremely critical! Here’s something I wrote about that recently. This judgment is why the labor arbitrage assertion is flawed

[PitCrew Agents @GoPitCrew]

https://t.co/P2CFK6OBSW

[PitCrew Agents @GoPitCrew]

https://t.co/P2CFK6OBSW

[Sameer Goel @TweetSamG]

@brettdash_ If you want to build something, chat makes a good starting point. Allows ideation and iteration.
But to run something, chat is least optimal. That’s when access control, environment, and triggers are more important

Something we baked in to https://t.co/GgkiJy2mde

[Sameer Goel @TweetSamG]

@Appyg99 Interaction models are still evolving. Chat is one starting point for human-machine interaction. In the world of AI there’s a lot more. What’ll be the harness, what are the underlying rules and guardrails, where is the context? Where is the run?

More at https://t.co/GgkiJy2mde

[Sameer Goel @TweetSamG]

@hvpandya Empty rooms are always a problem. Whether it is chat, analytics, draw, build or consume. Everybody needs some inspiration and guidance.
A build UX is also very different from an operate UX, different sides of a coin.

See more of this in action at https://t.co/GgkiJy2mde

[Sameer Goel @TweetSamG]

@aakashgupta Need to separate the build from the run!
Chat interaction is great to ideate, iterate, build. But after that the agent needs to operate in the background. Triggers (manual, automatic, event-based) control that operation.

See this in action at https://t.co/GgkiJy2mde

[Sameer Goel @TweetSamG]

@rabi_guha @rishikulkarni UX implies human to computer interaction! With agents that’s also in question. How much of the erstwhile human-machine interaction move to machine-machine interaction? That will further influence the types of interactions

[Sameer Goel @TweetSamG]

@rishikulkarni @nbobba While true that “Mid-market and SMBs will not self-serve their way into a system of intelligence”. There are mixed signals from industry at large with fear-mongering mixed in.
With @GoPitCrew agentic platform, we’re offering both options - DIY and DFM, to build, deploy, operate

[Rishi Kulkarni @rishikulkarni]

We are just getting started in a long journey of rebuilding the entire tool chain.

[Rishi Kulkarni @rishikulkarni]

Builders could go from idea to working application in hours instead of weeks. The framework handles the infrastructure; humans handles the interesting problems.

Agent harness are ready for the same intervention.
What do most agentic systems need?

@TweetSamG @rameshmay

[Rishi Kulkarni @rishikulkarni]

@asmah2107 At @GoPitCrew we visualise a workflow as a Kanban. Each task or swimlane can a subagent (wrapped in an eval).

[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

[Rishi Kulkarni @rishikulkarni]

Thank you for the partnership @googlecloud

[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

[PitCrew Agents @GoPitCrew]

Meet the "Cursor for Financial Services" 🛠️

We’re excited to officially launch Pitcrew!

Most AI tools fail in FinServ because they aren't built for the "Hard Stuff." We’ve spent months building the specialized infrastructure that AI needs to thrive in a regulated environment:

✅ The Rails: Native orchestration for AI skills and compliance.
✅ The Safety: Embedded guardrails and expert-in-the-loop validation.
✅ The Interface: Familiar, high-adoption UX (Kanban & Messaging).

Stop building infrastructure and start delivering value.

🎁 Launch Special: We're offering 20 runs for free to get you started. Check it out at [Link].

#FinTech #AI #Compliance #WealthManagement #Pitcrew

@TweetSamG @rameshmay @rishikulkarni

[Sameer Goel @TweetSamG]

I break down the "80/20 Reality" of vibe coding for RIAs. What vibe coding gets perfectly right, and where you absolutely need production-grade software engineering to protect your firm.

https://t.co/MdL9MFqhGB

@GoPitCrew @rishikulkarni @rameshmay @arnavgoel_

[Arnav @arnavgoel_]

How a product manager operates in an AI world is rapidly changing. 🧵

Gone are the days where a PM could stay away from tech, let the Engineering team come up with solutions that work best with their architecture. It’s becoming more and more necessary for product managers to understand the plumbing because that’s slowly turning into the product experience.