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Notes from
the build floor.
How we think about AI platforms that survive production. Written by the team that builds and operates them.
LATEST FROM MEGSOFT
What AI costs in production: the model is the cheapest line
Token prices fell about 80 percent and AI bills went up anyway. Where the money actually goes once a pilot has a meter.
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Legacy modernization with AI: the old system is the spec
AI made translating legacy code cheap. Proving the replacement behaves like the original is still the whole job.
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High-impact AI requirements, read as build specs
Agencies report their minimum practices to OMB on September 22. Six of those requirements are architecture, not paperwork.
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Why AI projects die in discovery
The expensive failures happen before the first line of code. Three mistakes that doom projects at the starting line.
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From pilot to production: what AI needs to survive real work
Pilots impress conference rooms. Production systems carry signatures. The three requirements that separate them.
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Automation runs. Intelligence decides.
Two very different upgrades hide inside "we need AI." Knowing which one you need is where the returns are.
→Wondering where AI
pays off in your operation?
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