AIStackWorks Pulse
Once a week: what changed in AI, the moves worth making, and what you should explore next. Written from real deployments, every claim sourced.
The era of “just use more AI” is ending, and the invoice is arriving. Three moves before your next renewal.
Do this: Pull your top 3 AI tools and find the overage rate on each. Can't find it in five minutes? That's the risk.
LLMs are great at judgment and terrible at execution. The best agent setups use deterministic tools as the backbone, not prompts.
Do this: List your agent's steps. Move anything deterministic, parsing, math, lookups, out of the prompt and into a tool.
Solo AI productivity is a local maximum. Teams need shared AI infrastructure, not N individual sidekicks.
Do this: Take your team's best prompt or agent setup and make it shared this week. One system beats five copies.
95% of organizations have an AI strategy. 8% report ROI. The gap is not the models, it's the path from code written to work shipped.
Do this: Trace one AI-written change from ticket to production and count the manual steps. That count is your real bottleneck.
Most teams automate what is simple, not what is worth it. Sequence by volume, bottleneck position, and judgment required.
Do this: Rank your top five processes by volume times bottleneck pain. Automate the winner, ignore the rest for now.
Most agent spend hides in steps that don't need a frontier model: classification, extraction, routing.
Do this: Route your highest-volume agent's simplest steps to a small model. Compare the bill after one week.
The era of “just use more AI” is ending, and the invoice is arriving. Three moves before your next renewal.
Do this: Pull your top 3 AI tools and find the overage rate on each. Can't find it in five minutes? That's the risk.
LLMs are great at judgment and terrible at execution. The best agent setups use deterministic tools as the backbone, not prompts.
Do this: List your agent's steps. Move anything deterministic, parsing, math, lookups, out of the prompt and into a tool.
Solo AI productivity is a local maximum. Teams need shared AI infrastructure, not N individual sidekicks.
Do this: Take your team's best prompt or agent setup and make it shared this week. One system beats five copies.
95% of organizations have an AI strategy. 8% report ROI. The gap is not the models, it's the path from code written to work shipped.
Do this: Trace one AI-written change from ticket to production and count the manual steps. That count is your real bottleneck.
Most teams automate what is simple, not what is worth it. Sequence by volume, bottleneck position, and judgment required.
Do this: Rank your top five processes by volume times bottleneck pain. Automate the winner, ignore the rest for now.
Most agent spend hides in steps that don't need a frontier model: classification, extraction, routing.
Do this: Route your highest-volume agent's simplest steps to a small model. Compare the bill after one week.