u/Efficient_Degree9569

I checked out GitHub after Anthropic's announcement last week and came across their new financial services reference repo (github.com/anthropics/financial-services). It packages 10 pre-built workflow agents for financial services firms you can run them through the Claude Cowork plugin or via the Managed Agents API, which is a useful bit of flexibility depending on how your stack is set up.

The 10 agents cover a decent spread of the typical pain points:

• Pitch Agent - builds fully branded pitch decks from comps, precedent transactions, and LBO analysis
• Meeting Prep Agent - drafts client briefing packs automatically before meetings
• Market Researcher - takes a sector or theme, returns an industry overview, competitive landscape, peer comparison, and idea shortlist
• Earnings Reviewer - processes earnings call transcripts and filings, then drafts research note outlines
• Model Builder - works directly in Excel to build and update DCF, LBO, three-statement, and comps models in real time
• Valuation Reviewer - aggregates GP packages and runs valuation templates for LP reporting
• GL Reconciler - finds breaks in the general ledger, traces root causes, and routes items for approval
• Month-End Closer - handles accruals, rollforwards, and variance analysis commentary
• Statement Auditor -reviews and validates LP financial statements before distribution
• KYC Screener - parses onboarding documents, runs rules-based checks, flags missing or inconsistent items

The GL Reconciler and KYC Screener are the ones I'd actually want to stress-test first as i those are the workflows where errors are costly and the volume of repetitive checking is genuinely painful for finance teams.

Anyone already running these or building on top of this? Would love to know how they perform on messier real-world data rather than just clean demo examples.

The compute is real. The implications are stranger than the headline suggests.

Colossus 1 which is 220,000 Nvidia GPUs, 300+ megawatts, is now running Claude inference. Anthropic moved fast: Claude Code limits doubled overnight, peak-hour caps removed, Opus API rates up. For anyone who's been hitting walls, this is immediately tangible.

But the deal deserves more scrutiny than it's getting.

Musk included a clause reserving SpaceX's right to reclaim the compute if Claude "engages in actions that harm humanity." That's not standard infrastructure boilerplate. That's a kill switch written into an AI safety company's compute supply and Anthropic accepted it. Whether that clause is legally enforceable or just rhetorical positioning matters enormously for Anthropic's operational independence. Nobody seems to be pressing on it.

The other piece worth understanding: xAI the company built specifically to out-compete Anthropic, was running these 550,000 GPUs at 11% utilisation. Competitors called it "appallingly low." This deal exists because xAI couldn't use what it bought, not because Anthropic was cornered. That reframes the power dynamic considerably.

What it actually signals about Anthropic: they've demonstrated they can utilise compute more efficiently than one of the best-funded AI labs on the planet. The bottleneck in this race has quietly shifted from GPU acquisition to software infrastructure. Colossus is partly a live stress test of where Anthropic sits on that curve.

The relationship is also genuinely strange. Dario spent a week with Musk's team. Musk declared himself impressed. Anthropic gets capacity from its loudest critic. SpaceX monetises idle hardware. And xAI framed for two years as Anthropic's existential rival, is being folded into SpaceX and rebuilt from foundations.

In February, Musk was tweeting that Claude was racist. Today Anthropic is his anchor tenant.

That's a market telling you who won the first round.....