Sep 28, 2026 • 5 min read
AI Features Need Unit Economics
The useful cost of an AI feature includes retries, retrieval, review, and support—not just the price of one successful model response.
Dev Blog
Essays on HubSpot architecture, AI workflow design, and engineering delivery for teams that care about what happens after launch, when operators, edge cases, and changing requirements put the real system on display.
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13 articles in AI
Clear filtersSep 28, 2026 • 5 min read
The useful cost of an AI feature includes retries, retrieval, review, and support—not just the price of one successful model response.
Aug 4, 2026 • 5 min read
A useful desktop AI product treats memory, model formats, fallbacks, and degraded states as product decisions—not surprises for the person using it.
Aug 1, 2026 • 6 min read
If an AI feature can change a customer decision, an operator workflow, or a safety boundary, its evaluation plan is part of the product requirement.
Jul 1, 2026 • 3 min read
AI product quality depends on the full interface around the model: inputs, controls, evidence, state, review paths, and recovery behavior.
Jun 28, 2026 • 2 min read
AI tools are easier to trust and improve when they preserve inputs, evidence, decisions, approvals, and corrections instead of only storing the final output.
Jun 22, 2026 • 3 min read
The best AI workflows know when to pause for clarification, approval, or missing context instead of forcing a confident action from uncertain inputs.
Jun 19, 2026 • 3 min read
Retrieval is not plumbing in an AI product. It directly shapes whether the answer feels relevant, grounded, current, and useful.
Jun 14, 2026 • 3 min read
AI agents become more useful when their authority, inputs, tools, and escalation paths are defined before they start acting inside real workflows.
Jun 4, 2026 • 5 min read
Prompt edits can change routing, escalation, and decision quality in production, so they deserve versioning, evaluation, and rollback.
Jun 1, 2026 • 6 min read
AI systems get more reliable when documentation defines the terms, states, tool behavior, and exception handling the workflow depends on.
May 26, 2026 • 8 min read
AI features improve when teams treat context assembly as product and systems design work instead of assuming the model can infer its way past noisy, stale, or incomplete inputs.
May 10, 2026 • 5 min read
Durable AI systems win by structuring decisions, preserving evidence, and designing the workflow around the model for operators.
May 8, 2026 • 4 min read
Good automation removes routine work but still gives people a clear, informed way to take over exceptions.