AI Workflows
How to Keep AI Context Clean on Long Projects
Long AI projects accumulate obsolete rules and experiments. Keep a small current source of truth and separate history from active requirements.
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AI Workflows
Long AI projects create a different class of problems than one-off prompts. These articles cover project drift, sources of truth, scaling, workflow bloat, simplification, and clean restarts.
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What Is AI Project Drift? Why Long AI Projects Slowly Go Off Course
Long AI projects can slowly move away from their original goal as corrections and experiments accumulate. We call this AI project drift.
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12 articles
AI Workflows
How to Build an AI Workflow That Stays Simple
Start with the smallest workflow that produces a good result. Add permanent complexity only when a recurring failure proves it is needed.
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AI Workflows
Why AI Needs a Source of Truth on Large Projects
A concise source of truth helps AI distinguish current project decisions from old drafts, experiments and abandoned rules.
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AI Workflows
What We Would Do Differently Starting a Large AI Project Today
After building complicated AI workflows, our biggest lesson is simple: start with one useful result and let recurring failures earn additional complexity.
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AI Workflows
Can AI Maintain a Standard Across Dozens of Outputs?
AI can produce one strong result, but maintaining the same standard across dozens of outputs is harder. Here's what helped us improve consistency.
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AI Workflows
Why AI Workflows Become Bloated
AI workflows become bloated one reasonable fix at a time. We learned how rules, validators and exceptions can create more work than they prevent.
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AI Workflows
Can AI Learn From Failures During a Project?
AI can use earlier failures during a project, but important lessons are not automatically permanent. We turn meaningful failures into project knowledge.
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AI Workflows
Why Simplifying Our AI Workflow Made It Better
Our AI workflow became slower as we added more checks and stages. Removing unnecessary machinery made the process faster and easier to trust.
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AI Workflows
Why Starting Over With AI Can Work Better Than Another Revision
Repeated AI revisions can preserve bad assumptions and accumulated patches. Sometimes a clean restart from the corrected requirements is faster and better.
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AI Workflows
Why AI Is Better at Tasks Than Managing Entire Projects
AI can perform individual tasks remarkably well while long projects still drift. Here's why task execution and project management need different controls.
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AI Workflows
When AI Creates More Work Than It Saves
AI isn't automatically a time saver. Repeated corrections, validation and workflow maintenance can make automation cost more than it saves.
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