Free vs paid AI: when is an upgrade worth it?
Decide whether a recurring AI plan removes enough real workflow friction to justify paying.
Read guideDecision briefs
Decision briefs that end in an action.
Only changes that can affect model choice, workflow cost, delivery risk, or product pricing belong here. Each brief connects to a scenario and a deterministic calculation.
Illustrative local preview — not current provider dataReviewed decision guides
Start with subscription, overlap, and creator-budget decisions, then test your own scenario in a local calculator.
How to choose one AI subscription
Choose an AI subscription around a primary recurring job, observable constraints, and a reversible trial.
Read guideHow to avoid overlapping AI subscriptions
Find duplicate AI spend without assuming that similar product categories are true substitutes.
Read guideBuild an AI budget for creator work
Plan creator AI spend from finished deliverables, retries, and distinct workflow stages.
Read guideWhen input and output prices move in different directions
A blended headline can hide whether your retrieval-heavy or generation-heavy workflow actually benefits.
- Decision impact
- Recalculate by workload mix before switching routes.
- Editor view
- Price per million is context, not the product decision. Weight the rate by the workflow that produces a successful outcome.
- Evidence state
- Illustrative editorial pilot · production source review required
Long context expands the workflow—and its failure surface
A larger context window may remove retrieval steps, but it can also increase submitted-token cost and retry exposure.
- Decision impact
- Compare retrieval, long-context, and hybrid paths.
- Editor view
- Do not value context size in isolation. Model the call count, context actually submitted, and what happens when the answer fails review.
- Evidence state
- Illustrative editorial pilot · production source review required
A support automation case should expose human review cost
Vendor case studies often highlight resolution gains while leaving escalation and review effort outside the headline.
- Decision impact
- Add human-handoff and failed-task assumptions.
- Editor view
- Label vendor-provided outcomes and reproduce only the economic assumptions you can defend.
- Evidence state
- Illustrative case pattern · no vendor claim reproduced
A benchmark refresh can invalidate an old recommendation
Task sets, model versions, reasoning budgets, and scaffolds change. Old ranks should not silently become current advice.
- Decision impact
- Pin the exact evidence version in the decision report.
- Editor view
- Use a benchmark to narrow questions, then validate your own success criterion and operating cost.
- Evidence state
- Method note · external values remain link-only
Retries can erase a cheaper model's apparent advantage
A low per-call price can lose when failure recovery creates more attempts or additional review steps.
- Decision impact
- Compare cost per successful task, not per submitted call.
- Editor view
- Reliability belongs in the denominator. Make the success definition explicit before comparing candidates.
- Evidence state
- Synthetic scenario · deterministic formula 2.0.0
A generous free tier is a unit-economics decision
Free allowance depends on successful-task cost, paid conversion, payment fees, fixed cost, and the target margin.
- Decision impact
- Calculate a sustainable whole-task allowance.
- Editor view
- Do not convert a token budget directly into a product promise. Price the customer outcome and preserve a margin buffer.
- Evidence state
- Synthetic scenario · deterministic formula 2.0.0