Buyer guides, comparisons, and AI playbooks.
What I tell operators before they spend money on AI or custom software: how to pick a partner, how to scope the work, which tools fit which job, and where AI actually earns its keep in specific industries. Newest first.
- buyer guide
How to choose an AI development company: nine criteria that separate builders from demo shops
A founder's buyer guide to choosing an AI development company: nine criteria, the question to ask for each, the red flags, and what actually drives the cost.
· 9 min read - comparison
Claude vs ChatGPT for business: decide by the work, not the headlines
Claude vs ChatGPT for business, decided by task type, workflow, and procurement path, with a two-week bake-off and scoring rubric you can run on your own work.
· 7 min read - executive
How executives should learn AI in 30 days: a hands-on plan built on your own calendar
A 30-day AI training plan for executives: daily hands-on tasks on your own work, what to delegate to AI, what to stop doing, and how to measure it.
· 7 min read - industry playbook
AI for dental practices: a playbook for the front desk, recall, and treatment acceptance
AI for dental practices: where to start, which use cases pay first, what each needs, what to avoid, a 90-day plan, and how to measure it, from a team that built one.
· 7 min read - buyer guide
How to choose an AI consulting firm when you need shipped systems, not another strategy deck
How mid-sized companies should choose an AI consulting firm: advice versus delivery, the five firm types, how to test shipping ability, and what goes in an SOW.
· 8 min read - comparison
Claude Code vs Cursor vs GitHub Copilot: choosing AI coding tools for a team, not a solo developer
Claude Code vs Cursor vs Copilot for engineering teams: how each fits a workflow, what review discipline it needs, governance questions, and a fair way to trial them.
· 7 min read - executive
Managing AI agents: how to turn your employees into agent managers
How to turn employees into AI agent managers: writing task specs, review checklists, escalation rules, per-agent metrics, career paths, and change management.
· 7 min read - industry playbook
AI for healthcare clinics: a playbook for intake, prior auth, referrals, and documentation
AI for healthcare clinics: the admin workflows to automate first, HIPAA basics for AI vendors, keeping clinicians in the loop, a 90-day plan, and what to measure.
· 7 min read - buyer guide
24 questions to ask before hiring an AI agency, and what each answer tells you
The questions to ask before hiring an AI agency, grouped by discovery, pricing, delivery, and after launch, with what a strong answer and a weak answer reveal.
· 7 min read - comparison
Zapier and Make vs custom automation: when no-code is right, and the signs you have outgrown it
Zapier vs custom automation, honestly: where no-code tools like Zapier and Make shine, where they break, the warning signs you have outgrown them, and the hybrid path.
· 7 min read - industry playbook
AI for private equity portfolio companies: a repeatable playbook from diligence to exit
AI for private equity portfolio companies: diligence questions, a first-100-days plan, a playbook that repeats across portcos, and how to measure EBITDA impact honestly.
· 7 min read - buyer guide
Build vs buy AI: when SaaS wins, when custom wins, and the hybrid most companies end up with
Build vs buy AI, decided properly: a decision matrix, when SaaS wins, when custom wins, the hybrid path, and the real drivers of total cost of ownership.
· 7 min read - comparison
HIPAA compliant automation: renting a platform vs owning your own workflows
A decision guide to HIPAA compliant automation: renting a platform vs owning your workflows, covering BAAs, where PHI flows, audit logs, access control, and lock-in.
· 7 min read - industry playbook
AI for professional services firms: proposals, firm knowledge, time capture, and review
AI for professional services firms: law, accounting, consulting, and agencies. The use cases that pay first, confidentiality rules, review workflows, and a 90-day plan.
· 7 min read - buyer guide
In-house AI team vs AI partner: the roles, the ramp, and the hybrid that usually wins
In-house AI team vs AI partner: the roles you would hire, ramp time, knowledge retention risk, and the hybrid where a partner builds and trains your team.
· 7 min read - comparison
Fractional Chief AI Officer vs full-time hire: which one your company actually needs right now
Fractional Chief AI Officer vs full-time hire: what the role owns, the stage and size signals for each, how to structure a fractional deal, and when to convert.
· 8 min read - industry playbook
AI for real estate: a playbook for brokerages, property managers, and developers
AI for real estate: lead response, listing content, document review, and tenant communications, plus fair housing cautions, a 90-day plan, and the numbers to watch.
· 7 min read - buyer guide
What a fixed-budget software project actually includes, and how to read a fixed bid
Fixed price software development, explained by a builder: the scope doc, acceptance criteria, change requests, what is excluded, and how to read a fixed bid.
· 7 min read - industry playbook
AI for ecommerce brands: a playbook that starts with the order data you already have
A practical AI playbook for ecommerce brands: which use cases to start with, what each needs, what to avoid, a 90-day sequence, and how to measure the return.
· 8 min read - buyer guide
How to scope an AI project: the eight-step worksheet I use before quoting anything
How to scope an AI project in eight steps: task inventory, volume, error cost, data audit, success metric, evaluation set, integration map, and a phased plan.
· 7 min read - industry playbook
AI for wellness and hormone clinics: a playbook for cash-pay practices that run on memberships
An AI playbook for cash-pay wellness and hormone clinics: consult booking, lab follow-up scheduling, refills, membership retention, and HIPAA basics.
· 8 min read - buyer guide
AI proof of concept to production: the checklist I use before anything goes live
A practical checklist for taking an AI proof of concept to production: evaluation, data, permissions, observability, cost, failure handling, rollout, and ownership.
· 8 min read - industry playbook
AI for home services companies: a playbook for HVAC, plumbing, roofing, and cleaning operators
An AI playbook for home services companies: missed-call capture, dispatch support, photo quotes, follow-up, review requests, and technician knowledge lookup.
· 8 min read - buyer guide
How to evaluate an AI agent vendor: autonomy, permissions, and the exit path
A buyer's guide to AI agent vendor evaluation: autonomy levels, tool permissions, audit logs, human approval, a sandbox trial on your own data, and your exit path.
· 7 min read
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