4.91 out of 5.0. 56 reviews on Clutch. Zero paid ads. 100% referral-driven for 10 years. When the work speaks, you don't need a megaphone.

73% of CTOs have lived through the junior army problem. Senior architect closes the deal. Disappears after kickoff. You spend the next 6 months managing a team of people who weren’t in the room when you signed. One question before you sign: “Will the person on this call be the person on my project in month 3?”

Good morning! Receiving reviews like this gives us a reason to wake up every morning with a smile on our faces. Have a great week ahead.

70% of executives have pulled outsourced work back in-house over the last 5 years. Most people read that as proof that outsourcing is dying. I read it as proof that the wrong model of outsourcing is dying. The version where you rent developers by the hour, manage them yourself, absorb the overhead, and hope they don't rotate off at month 4. The vendors who embedded into the client's business, owned outcomes, and proved measurable velocity improvement survived the insourcing wave. They're still in those companies. We've had a client through a PE buyout, a corporate acquisition, a new CTO, and a new board. The engagement survived all of it. The contract didn't keep us there. Proving the work was worth continuing every month kept us there. The vendor evaluation criterion that doesn't fit on a scorecard: does this partner earn the right to stay, or do they rely on switching costs to prevent you from leaving?

Imagine just letting AI into your 10 year old codebase and expect it to make no mistakes. At least you can call your company “AI-native”.

AI for Enterprise: Expectation VS Reality

None of this is satire.

None of this is satire. Everything below happened in the last 18 months. → OpenAI announced $500 billion in AI infrastructure at the White House. Altman inflated it to $1.4 trillion. Then told investors the real number was $600 billion. Then abandoned building data centers and started renting from the cloud providers it said it would replace. → OpenAI filed for an IPO targeting $1 trillion . It’s projecting a $14 billion operating loss this year. Its own CFO reportedly wasn’t sure revenue growth could support the spend. → SpaceX went public at $1.77 trillion. 94x revenue. Its xAI division lost $6.36 billion last year. Musk is now the world’s first trillionaire. → Apple rebuilt Siri from scratch on Google’s Gemini. $1 billion a year for a 1.2 trillion parameter model. OpenAI was evaluated and passed on the deal. → Anthropic launched its most capable model on a Monday. By Tuesday, researchers discovered it was silently degrading its own answers for anyone working on frontier AI. No notification. Just quietly worse output. → By Wednesday, Microsoft banned employees from using it. → By Friday, the US government ordered the model shut down for every foreign national on earth. Including Anthropic’s own foreign employees. → Anthropic refused to let the Pentagon use its AI for autonomous weapons and mass domestic surveillance. The Pentagon labeled them a “supply chain risk.” A designation historically reserved for foreign adversaries. → Anthropic is suing the US government over that designation. It also filed for an IPO this month. Last valuation: $965 billion. → Hyperscalers are spending $690 billion on AI infrastructure in 2025-2026. Combined AI revenues don’t cover a third of it. → The President floated giving the public equity in AI companies. No mechanism exists to do this. → Meanwhile, 99% of companies deploying “AI” are running a coding assistant in VS Code and calling it transformation. None of this is satire.

The future is model-agnostic