Buyer guides

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Start with the question in front of you—what to buy, when to upgrade, how to audit a stack, or where a workflow needs clearer guidance.

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Seven focused guides, ordered from framing the stack decision to choosing, budgeting, and maintaining it.

Software stack basics
AI software stack vs AI infrastructure stack
Use this when a team must decide whether a workflow owner can approve a finished vendor-operated software pilot or an engineering/platform owner must approve the production integration and operating obligations around a managed model or API. Keep a safe pilot separate from production approval: unresolved data flow, hosting, monitoring, reliability, cost, or ownership should stop at the pilot boundary until the infrastructure owner clears the release gate. When that dependency remains open, set an explicit pilot reapproval date. If you renew the bounded pilot, record the current dependency state, what changed since the last approval, the accountable owner, the next release gate, and why the same bounded scope remains safe; otherwise pause it. Reapprove sooner when the dependency materially changes instead of carrying old pilot approval across a changed production obligation. Before production approval, require a recorded resolved dependency, validated operating-cost estimate, accountable operating owner, monitoring and recovery readiness, and release-gate signoff. Prove recovery readiness on one representative failure or rollback path by naming who can stop rollout, what signal triggers rollback, and how the workflow returns to the last safe pilot state; otherwise remain pilot-only. After clearance, bind the approval to the reviewed workflow, data boundary, deployment path, operating owner, and recovery obligation. A new workflow, team, data class, hosting path, or materially broader operating scope requires a fresh production-clearance decision instead of inheriting the old approval. If accountable operating ownership changes, require the incoming owner to explicitly accept that reviewed scope, monitoring and recovery obligations, rollback authority, and release conditions before the old clearance can remain in force; otherwise return to pilot-only and issue fresh clearance. Give the record a review date or trigger and revalidate it when the dependency state, validated cost, accountable owner, monitoring or recovery posture, release conditions, or approved production scope materially change. If the old evidence no longer matches the production obligation, return to pilot-only until clearance is renewed. When renewed clearance replaces the old record, mark the prior clearance superseded, record the successor reference, and record the replacement reason or trigger instead of leaving both records looking valid or unexplained.
Updated 2026-09-13
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Software stack basics
AI tool directory vs AI stack advisor
Use this to choose the right starting path: broad discovery, a constraint-aware shortlist, or maintenance of a stack already in use. Stop browsing once the shortlist can carry a decision: keep meaningfully distinct operating models, and add a newly found tool only when it changes that model or could displace an existing option. Give every unresolved decision gap a named owner plus a closure condition or review date, and do not start the pilot while a non-negotiable gap is ownerless. Verify unresolved shortlist claims before a pilot or purchase, then run a bounded pilot before expanding seats.
Updated 2026-09-15
Open guide
Choosing a default assistant
Which AI assistant should you use first?
Use this when you need to pick one default assistant and validate it on one recurring job. If sourced web research is the deciding job, use the guide's direct Perplexity vs ChatGPT Search handoff; if Google Workspace integration is the deciding constraint, use the Google AI tools vs standalone AI tools guide before standardizing. Route connected work data or delegated actions through the permissions review. If the pilot misses the core job, rerun that same job with the strongest alternate under the same success criteria, allowed data, and review boundary before replacing the default, unless the current assistant failed a non-negotiable boundary. Then audit the stack before expanding or replacing tools; use the renewal review before renewing or expanding seats and plan offboarding before switching.
Updated 2026-09-09
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Ecosystem and platform fit
Google AI tools vs standalone AI tools
Use this when a team is deciding between Google-native and best-of-breed tools: compare one recurring workflow, record the chosen assistant, owner, allowed data, success evidence, and stop or switch condition in a bounded pilot, then audit the resulting stack and capture the decision before standardizing. Before standardizing broadly, run one exit test that proves a critical workflow's inputs, outputs, and handoff can be exported or recreated without depending on connected Workspace context; keep the rollout narrow if that fallback is unclear. Treat a move into a new workflow, team, connector, or data class as a fresh approval decision and rerun the bounded pilot on that new scope before inheriting the old exception. Reopen the decision early when the team's system of work or source of truth changes. If research is the deciding constraint, route source-corpus work to NotebookLM vs Perplexity and open-web search to Google Search vs Perplexity first.
Updated 2026-09-08
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Buying guides
Best AI tools for small teams in 2026
Use this when a small team needs its first practical stack and a clear test for adding the next specialized tool: require a recurring job, named owner, evidence of value, and a workable exit; route connected workspace data or delegated actions through the permissions review before wider rollout, then audit existing paid tools before the next expansion cycle.
Updated 2026-09-01
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Budget and free vs paid
Free vs paid AI tools: when to upgrade
Use this when a solo user or small team needs to decide whether to stay free, prove a paid upgrade is justified, review the exact paid plan's pricing, security and admin controls, contract terms, and exit path, record the approval owner, rationale, stop condition, and next review before commitment, carry the approved workflow into a bounded pilot before expanding seats, renew, reduce, replace, or cancel an existing subscription, or audit the wider stack when that decision exposes overlap or portfolio-level change. If you reduce the tool, remove seats that no longer have a workflow owner and recertify the remaining connected data or delegated actions instead of leaving the broader pilot scope in place.
Updated 2026-09-06
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Stack audit and maintenance
Connected AI assistant permissions review
Use this before enabling connectors or delegated actions—and whenever work-data, personal-record, action-right, retention, or ownership scope changes—to set the smallest access, required human or professional gates, review date, and revocation plan. Treat provider authorization, workspace app access, enabled actions, and ask-before-action settings as separate approval layers, and re-review when an app gains new actions. Carry an approved connection into a bounded pilot and review pricing and security before a paid or wider rollout; if the decision is to revoke or replace the assistant, use the offboarding checklist to transfer dependencies and remove access cleanly.
Updated 2026-09-06
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Stack audit and maintenance
How to audit and maintain your AI stack
Use this before a renewal or stack expansion to decide what to keep, replace, add, or cancel. Before replacing a tool for fit, pricing, or security reasons, rerun the same recurring job with the incumbent and strongest replacement under the same success criteria, allowed data, and review boundary. Use vendor pricing/security review when risk or terms changed, renewal review before extending a commitment, the pilot checklist for a new addition, and the offboarding checklist before replacing or canceling; keep one owner, next review, and action across the handoff.
Updated 2026-09-12
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Guide standard

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Guide pages should help with software-stack decisions by role, workflow, team size, budget, privacy/security bar, or maintenance stage. They should not be mass-generated lists, rankings without evidence, or news posts. Pricing and privacy uncertainty should stay visible where it affects the decision.

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