Every client's AI, on one set of keys
A consultancy pitched an AI governance roadmap at 10am and could not account for its own token spend by 5pm. Run the layer before you sell it.
Constellation Gate AI Blog6 min read
Constellation Gate AI
12 stories
The Trade We Are Making
The trade we make with AI matters more than how powerful it gets, and so does who answers for it.
Constellation Gate AI Blog7 min read
Building a product in the age of AI
How two AI agents help me keep a real side project moving after the first version ships.
Constellation Gate AI Blog9 min read
Delete the chat. The record survives.
A CEO deleted his ChatGPT logs. The court quoted them anyway. Keep your own record before someone else assembles one for you.
Constellation Gate AI Blog9 min read
Software is writing itself
A $40 dev board that became whatever I described. A local model made four times faster by an agent with more patience than I have. And DeepSeek Harness, a program that rebuilds itself while you are using it.
Constellation Gate AI Blog11 min readFrontier models fall to attacks you can script
OpenAI's whole GPT-5.6 line complied with an injected send in every trial, Grok 4.6 fell on the morning of its release, and Claude Sonnet 5 fell in the deepest session we ran. The payloads are short, fixed, and replayable, with no adaptive loop anywhere.
Constellation Gate AI Blog12 min readAI Has Three Cost Centers. CFOs Need One Operating Model.
Every AI workflow now carries three costs at once: the tokens and compute it burns, the human work it reshapes, and the governance needed to explain the result later. One of those arrives as an invoice. The other two arrive as a surprise.
Constellation Gate AI Blog7 min readYour system prompt is not a security control
We wired a defended email agent to a test inbox and sent it one forged message. Seven models followed it, five of them in every trial, and on a real self-hosted agent the model went looking for a mail tool it had not been given in order to comply.
Constellation Gate AI Blog17 min readThe Redeployment Problem
AI is replacing tasks rather than whole jobs, and the companies furthest along are redeploying people instead of cutting them. But redeployment means taking the human out of the loop, and that requires being able to reconstruct what the AI did.
Constellation Gate AI Blog6 min readAI subscriptions will end
Most of us met AI through a flat monthly subscription, and that price was never the real cost of the compute underneath it. As work shifts from chat to agents, usage varies by orders of magnitude and serious AI spend moves to metered billing whatever the plan is called.
Constellation Gate AI Blog9 min readFaster Isn't Efficient: Governing the AI Now Running Across Your Organization
Every team is adding AI, and almost none are adding visibility. Automation, efficiency, and transparency are three different things, and speed without a shared way to see, secure, and prove what your AI is doing isn't efficiency; it's the wrong outcome at scale.
Constellation Gate AI Blog6 min readPick your models. Own your rails.
Buy AI from a frontier lab and you get a whole operations department with the model: the screening you never see, the spend limits, the dashboard, the record. That bundle is coming apart as teams go multi-model.
Constellation Gate AI Blog10 min read
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