Model selection
Which AI model should you use? A task-first guide
A practical way to match models to real business tasks, with tradeoffs, verified examples, and clear rules for moving up a tier.
Reviewed · 7 min read
Better AI decisions.
Useful business systems.
Practical guides to choosing models, working with AI, and building systems that hold up in the real world.
- Repetitive workLightweight models
- Everyday complexityStrong general models
- Hard, unresolved problemsDeep reasoning
The resource library
14 resources
AI usability
How to get useful work from AI
A practical guide to clear requests, useful context, evidence checks, and workflows that produce something you can actually use.
Reviewed · 6 min read
Business systems
Business automation systems: four practical blueprints
How to connect intake, business rules, AI and human review for home services, real estate, restaurants, and professional services.
Reviewed · 7 min read
From the lab
Deterministic Guardrails vs. Free-Form Chat: Why Production AI Voice Agents Rely on Structured Tool Calling
Open-ended chatbot prompts fail catastrophically when applied to live voice telephony. Scaling production AI voice agents requires deterministic execution: strictly typed tool schemas with no unknown properties, fail-closed dispatch, ephemeral client token lifetimes, half-duplex acoustic echo gating, and bounded execution loops.
Published · 7 min read
From the lab
Four AI Models, One Pizzeria Brief: Luna, Haiku, Grok and Sol, Audited
We gave a real pizzeria brief, word for word, to GPT-6 Luna, Claude Haiku 5.5, Grok 4.7 and GPT-6.1 Sol, then audited every draft. The best draft cost the most and never finished; the best value came from the cheapest run. Here is the scorecard, the bugs and the bills.
Published · 10 min read
From the lab
Model A vs. Model B: How We Rebuilt Our Website Collection With a Team of AI Models
We rebuilt all twelve concept websites in our design collection in one working session, with an architect model that built the system and two builder models working in parallel. Here is the process, the honest scorecard, and why we are not naming the models.
Published · 7 min read
From the lab
Overnight Website Delivery: How Autonomous AI Workflows Change Agency Velocity
Traditional digital agencies quote 6–12 weeks for a marketing website build. By combining modular Next.js design tokens, structured intake prerequisites, and autonomous AI coding workflows, we collapsed delivery into a disciplined 72-hour assembly line—without proprietary lock-in or fragile visual builders.
Published · 7 min read
From the lab
Multi-Tenant Telephony: How AI Voice Agents Scale Across Dedicated Client Lines
Building a single-number voice agent demo is straightforward. Scaling voice AI across multiple commercial clients requires isolated telephony: dedicated virtual numbers, HMAC-SHA1 signature verification, fail-closed tenant attribution, atomic usage metering, and collision-proof provisioning.
Published · 7 min read
From the lab
From WordPress to Sub-Second Next.js: Anatomy of a Local Business Migration
A teardown of migrating a heavy local business site from WordPress and Elementor to Next.js on Vercel: reducing 6s+ mobile load times to sub-1.5s, migrating 13 staff profiles and 30+ facility assets, and replacing leaky external redirects with a native lead-capture funnel.
Published · 6 min read
From the lab
A Voice Agent Isn’t Operational Until the Call Is Accounted For
A voice agent that talks in a browser is a demo. A voice agent whose completed calls reach a verified ingest endpoint, attach to the intended tenant, and bill usage exactly once is a managed product. Here is how our operational call-accounting architecture works.
Published · 6 min read
From the lab
We Put Our AI Receptionist on Our Own Front Door
We put Trinity, our live AI receptionist demo, on our own homepage so you can interrupt it, ask off-script questions, and judge the pacing yourself before a sales call. What the demo does, how it stays secure, and what a production deployment on your phone line adds.
Published · 5 min read
From the lab
The Anatomy of a Missed Call: Why Voicemail is a Funnel Leak
What actually happens when a service business's phone goes to voicemail? The lead was already paid for (ads, SEO, referral), and the caller's next move is the next Google result. Walk the logic of why missed calls are the single largest leak in your customer acquisition funnel, and how a 24/7 AI receptionist closes the gap.
Published · 6 min read
From the lab
Fable 5 Is Back. I Ran My Entire Agency on It for a Week.
A week running an AI agency on Claude Fable 5 — real client builds, 12–13 hour run days. What long autonomous runs change for delivery speed, how an overnight website build actually works, and why cheaper flash models are where AI slop comes from.
Published · 7 min read
From the lab
AI Model Comparison: June 2026 — The Real Tier List
Benchmarks measure tasks. Shipping production AI measures everything else. Here is how every major model — Fable 5, Opus 4.8, GPT-5.5, Gemini 3.1 — actually performs across SaaS platforms, coding agents, and marketing automation in June 2026. Updated July 9, 2026.
Published · 11 min read
Built on sources. Clear about judgment.
Our resource guides link to primary documentation and show when it was reviewed. Recommendations are editorial judgments, and illustrative workflows are labeled. We distinguish provider claims from measured results; we do not promise rankings, AI citations, or business outcomes.