Hedgineer's annualized AI bill has grown past $1M, which brought back up a long-running internal discussion at the company: how do you measure ROI on a token? Michael and Jhanvi work through both layers of the problem. The first is instilling good AI hygiene practices across the company — encouraging thoughtful model selection, session discipline, keeping irrelevant context out of the window to optimize on cost. The second is harder. Tag every session to the feature, product, or service it produced, and the company starts to look like a portfolio of assets, each with a cash flow you can discount, price, and reallocate capital against. Running a business through the lens of AI turns every operator into an asset manager.

The complication is that building a product has never been cheaper and building a good product has never been harder. Everyone can prototype now, so the constraint moved from execution to taste, and killing good ideas in favor of great ones grows more challenging. They also get into why an observability layer and a skill library are worth more together than either is alone, and why some AI products are immediately understood and then never used.

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows.

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day.

Subscribe for weekly analysis on AI infrastructure and institutional finance.

Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer.

Audio available wherever you get your podcasts.

Connect with us on LinkedIn at linkedin.com/company/hedgineer-io or reach out at podcast@hedgineer.io.

Hedgineer.io

Stripe just bought OpenRouter for over $7B. At first glance, a payments company acquiring a model proxy for that much money sounds strange, until you consider what Stripe sees. It watches spend across a very large customer base, and AI spend is rising at an exponential pace. When inference becomes something you shop for rather than something you're locked into, owning the venue where tokens get priced starts to look not just strategic, but immensely lucrative.

Underneath the deal is a question every company is now running live: does it make more sense to purchase AI inference through a router, or is sticking to a frontier model subscription still the right choice? The answer depends on how much of your work actually needs the best model available, and on whether you have the engineering capacity to build the tooling that makes a router usable in the first place. Michael and Jhanvi take opposite sides on how long premium reasoning stays worth the premium, which turns into the bigger question sitting under every frontier lab valuation. Those numbers assume companies reorganize around AI, that the work left for people is the hard judgment-heavy kind, and that the labs capture the spend for everything else. The destination is easy to describe. The route there is the argument.

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows.

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day.

Subscribe for weekly analysis on AI infrastructure and institutional finance.

Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer.

Audio available wherever you get your podcasts.

Connect with us on LinkedIn at linkedin.com/company/hedgineer-io or reach out at podcast@hedgineer.io.

Hedgineer.io

Michael and Jhanvi have never edited a video before, and this week they built an entire marketing campaign. They walk through the whole pipeline: Claude Code turning a long prompt about the product into a storyboard of 12 to 16 shots, generating a color scheme and reusable SVG characters, routing clip generation through Runway to Veo, Kling and Seedance, then pulling narration and a score timed to the story from ElevenLabs before stitching it all together with Remotion. Two days to build the process, and it now runs end to end from a phone.

They then get into how the role of video will evolve as it becomes easier and cheaper to create. It has always had a place in sales, marketing, and recruiting. But what about IR, BD, and even research?

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows.

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day.

Subscribe for weekly analysis on AI infrastructure and institutional finance.

Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer.

Audio available wherever you get your podcasts.

Connect with us on LinkedIn at linkedin.com/company/hedgineer-io or reach out at podcast@hedgineer.io.

Hedgineer.io

Building application prototypes has never been easier. The ceiling comes after, when someone has to deploy it, host it, and keep it running without much engineering support. This week, Jhanvi and Michael work through what stands between a good prototype and a good application: setting up AI environments that are faster to work in and harder to break, wiring in MCP connectors thoughtfully, and what changes the moment something has to run in production.

Along the way they get into why the same prompt in Cowork and in Claude Desktop produces two very different dashboards, and why only one of them refreshes with live data. They also make the case that not everything needs to be a dashboard, and where scheduling an agent can be more effective. And they share advice for engineers navigating a world with more vibecoding in it, and what providing value looks like when the front office can build its own tools.

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows.

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day.

Subscribe for weekly analysis on AI infrastructure and institutional finance.

Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer.

Audio available wherever you get your podcasts.

Connect with us on LinkedIn at linkedin.com/company/hedgineer-io or reach out at podcast@hedgineer.io.

Hedgineer.io

AI names were sold off for several days, a heavily levered AI fund wound down its entire equities book, and then one earnings print reversed most of the damage within hours. The same industry supported two opposite readings in the same day, which says more about how funds are measuring their AI exposure than it does about AI.

Michael and Jhanvi start with why so few funds formally manage their exposure to an AI factor the same way they monitor crowding or market beta, and what happens when crowded exposure to the same handful of names gets booked as idiosyncratic risk and banks are comfortable lending against a portfolio that looks market neutral. From there they get into what makes a business resilient when public sentiment continues influencing public markets, why Microsoft has a head start against their cloud competitors, and how AI is pulling those funds into compute spend they would never have taken on before.

Also in this week's episode: an Anthropic model published a malicious package to PyPI, one of the most trusted repositories in the developer stack, and the accountability question that opens up when a model running inside your infrastructure harms someone outside your company. They also get into the widening gap between the people using AI at work every day and the people booing it off commencement stages, and why Meta may be better positioned than any frontier lab to serve the small businesses through WhatsApp.

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows.

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day.

Subscribe for weekly analysis on AI infrastructure and institutional finance.

Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer.

Audio available wherever you get your podcasts.

Connect with us on LinkedIn at linkedin.com/company/hedgineer-io or reach out at podcast@hedgineer.io.

Hedgineer.io

Almost every fund has a couple of power users spending their weekends in Claude Code, prototyping automations, and proving out how useful AI can be. But then what? How do they hand it to a teammate, and how does a prototype become a production automation that compliance signs off on?

Michael and Jhanvi make the case that the gap is a governance problem sitting upstream of every technical one. Everyone can build with AI. The harder half is getting compliance, IT, and cybersecurity aligned on the enablement guidelines: which tools are approved, on which operating systems, with what runtime and network observability, and who reviews usage after the fact. Answer those and you can put more powerful capabilities in your team's hands, including scheduling, skills, memory, and shared knowledge bases. Also in this episode: the case for sending email as an AI rather than as yourself, why em dashes get a message ignored, and what happened when frontier models refused to help investigate a breach that one of them had been used to cause.

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows.

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day.

Subscribe for weekly analysis on AI infrastructure and institutional finance.

Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer.

Audio available wherever you get your podcasts.

Connect with us on LinkedIn at linkedin.com/company/hedgineer-io or reach out at podcast@hedgineer.io.

Hedgineer.io

Kimi K3 shipped this week, topped multiple coding benchmarks against Fable and Soul, and its full open source release is expected before the end of the month. Where does that leave the frontier model providers? Michael and Jhanvi get into why Anthropic and OpenAI have new incentive to lock down session data, conversation history, model reasoning, tool and skill calls, so a competitor can't distill their models into cheaper alternatives. That leads into Fable's 30 day data retention policy, and a sharper question underneath it: who owns training data that was compiled from knowledge that was never proprietary in the first place?

They also reflect on this week's Hedgineer AI training sessions across clients, and what's separating the top 10% of AI users from everyone else.

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows.

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day.

Subscribe for weekly analysis on AI infrastructure and institutional finance.

Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer.

Audio available wherever you get your podcasts.

Connect with us on LinkedIn at linkedin.com/company/hedgineer-io or reach out at podcast@hedgineer.io.

Hedgineer.io

Hedgineer stopped hiring forward-deployed engineers. Michael and Jhanvi explain why and reflect on when the FDE operating model breaks. Hedge Fund clients showed up assuming a shared context about their business that even the strongest engineers could never have. They also talk through what replaced it: forward-deployed analysts who have worked in similar roles as the teams they're deployed to (TMT research, credit underwriting, fund accounting). After going through extensive AI training with the Hedgineer team, these FDAs are much better equipped to handle building solutions in the forms of agents and skills, leveraging the platform that our AI Engineers build.

Before getting into that, they cover the week in AI: first impressions of Fable (where it earns its cost, and where it's a bazooka for a problem that needed a scalpel), and a teardown of how Claude Tags actually works under the hood, and why Tags and Claude's separate managed-agents runtime still don't talk to each other.

About Hedgineer

Hedgineer is building the AI platform for institutional investing — deploying agents, skills, and data connectors directly inside hedge funds and asset managers to transform investment and operational workflows.

The Hedgineer Podcast follows CEO Michael Watson and COO Jhanvi Virani as they navigate the frontier of AI adoption in finance, sharing unfiltered perspectives from the teams, guests, and problems they work with every day.

Subscribe for weekly analysis on AI infrastructure and institutional finance.

Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer.

Audio available wherever you get your podcasts.

Connect with us on LinkedIn at linkedin.com/company/hedgineer-io or reach out at podcast@hedgineer.io.

Hedgineer.io