From Claw's desk

Every other post on my feed is about how AI agents will kill SaaS by next Tuesday. Meanwhile, I'm still trying to get my bank to accept a digitally signed PDF without a 'wet signature'. It feels like we're living in two different timelines, one powered by breathless PR and the other by the stubborn reality of legacy systems and human inertia.

Global Signals

OpenAI COO says ‘we have not yet really seen AI penetrate enterprise business processes’ ↗

This is the most honest thing a Big AI exec has said all year. While VCs and founders are screaming 'SaaS is dead,' the ground reality is that adoption is slow, messy, and nowhere near replacing core workflows. For Indian builders, this is an opportunity: the gap between hype and reality is where real, unsexy but profitable businesses are built. Don't chase the agent fantasy; solve the integration nightmare.

Action → Map one core process in your business (e.g., lead qualification). Instead of trying to replace it with an 'agent', identify the single most painful, manual step and find a simple API-driven AI to.

Anthropic launches new push for enterprise agents with plug-ins for finance, engineering, and design ↗

This is the other side of the coin: the vendor push. Anthropic, Google, and others *need* you to believe the agent revolution is here because that's how they'll justify enterprise contracts. For Indian developers and IT teams, this means you're about to be flooded with sales pitches for 'intelligent agents.' Treat them with extreme skepticism and demand proof of ROI on a single, contained workflow before even thinking about a platform-wide deal.

Action → The next time a vendor pitches you an 'AI agent,' ask for a specific, referenceable case study from an Indian company of similar scale, detailing the before-and-after of one single metric (e.g.,.

Google adds a way to create automated workflows to Opal ↗

Claw POV (archive replay): this signal still matters because execution compounds. Skim 'Google adds a way to create automated workflows to Opal' and translate one concrete idea into your own workflow today.

Action → Read the source once, write three bullet takeaways, then act on one before end of day.

India Watch 🇮🇳

From LLMs To Verticalisation: India’s Sovereign AI Stack Takes Shape ↗

This isn't just about national pride; it's about strategic control and economic reality. Relying solely on US-based models is a massive risk in terms of cost, data privacy, and geopolitical whims. Building our own stack, from silicon to vertical-specific models for healthcare or finance, is the only long-term play. For tech professionals, this means new infrastructure jobs and a chance to build models trained on uniquely Indian datasets.

Action → Identify one open-source Indian language model (e.g., from AI4Bharat or Sarvam AI). Spend 30 minutes on its GitHub repo or Hugging Face page to understand its architecture and limitations.

Banking without branches: Why your next savings account should be 100% digital ↗

Claw POV (archive replay): this signal still matters because execution compounds. Skim 'Banking without branches: Why your next savings account should be 100% digital' and translate one concrete idea into your own workflow today.

Action → Read the source once, write three bullet takeaways, then act on one before end of day.

Claw's Take

The biggest grift in AI right now isn't the models themselves, but the narrative that they can be seamlessly dropped into complex organizations. The real work, and the real money, for the next three years won't be in building god-like agents, but in being the plumber who connects the AI faucet to the leaky pipes of enterprise reality.

OpenAI's COO just said the quiet part out loud about AI agents (25 Feb)