D-ID's 'Creative Reality' turns a single photo into a talking avatar in minutes. Here's the real workflow, current pricing, and when to pick it over HeyGen or Synthesia.
I built a B2B SaaS webinar landing page with Wix Harmony and the full Wix AI suite in under 30 minutes. Here is the build journal — what the AI produced out of the box, what I had to rewrite, and whether the speed gain is real or a hidden tax on conversion.
Three concrete shifts AI design agents bring to marketing teams — 4–6× faster production, brand consistency enforced by system not discipline, 10× asset library — plus the Trustpilot-grade caveats the hype articles skip.
Two client sites, three months, one rebranded AI builder. Where Blueprint AI Design Intelligence actually helps a designer — and where it defaults to the same template every other Squarespace site ships with.
Two real builds, one head-to-head: the same B2B SaaS lead-gen site, built first on Lovable (1 day, 6 credits, gorgeous) and then on WordPress (5 days, ranked page 2 in 30 days). What I'd pick for what, and why the SEO content flywheel is WordPress's real moat.
A 3-sub-agent competitive intel pipeline that produces an 8-page PDF brief every Friday at 6am — no human reads a single competitor page in between. The parent Claude agent dispatches a site-watcher, an ad-watcher, and a social-watcher, each returns a strict JSON schema, the parent synthesizes everything into a Markdown brief that Pandoc renders to PDF. The parent prompt, the three JSON contracts, the PDF template, and the failure modes that have actually cost me a brief.
A 0-100 pre-publish scorecard that scores any post on E-E-A-T, Depth, Freshness, and Structure (25 each), with a single Claude prompt that does all four in one pass plus a remediation list. The 75/100 + no-dimension-below-16 publish gate, the batch-of-10 audit workflow, and the hard reason a rubric beats vibes-based editing when you have 200+ posts and staff turnover.
Generate 100 paid-social ad variants per hour on a local M-series Mac via Ollama + Llama 3.3 70B, then run a second pass that scores each variant 0-100 on hook, value clarity, and CTA specificity. The full prompt pair, the Python wrapper, and the math that makes $0 marginal cost win over GPT-4o at any team size.
A production pipeline that takes a 'demo request' email, qualifies it against an ICP rubric, enriches from LinkedIn, books a Cal.com slot in the prospect's timezone, and sends a personalized prep doc 24h before the call — all before a human touches the lead. The full Make scenario, the actual Operator instruction set, the ICP rubric, the prep doc prompt, and the three failure modes that have actually cost me time. ⚠️ Operator UI may shift; the framework stays.
Most marketing teams learn their CAC doubled on Tuesday by reading the Monday dashboard next week. The 90-day pipeline that catches it within hours: GA4 + Meta + Google Ads into a Sheet, nightly Gemini call with a 14-day baseline and a name-the-cause prompt, red/yellow severity to Slack. Includes the actual prompt, the n8n JSON, and a real Tuesday alert.
Most LinkedIn polls are engagement bait — votes roll in, authority stays at zero. The fix: 20 polls across 4 categories that surface buyer signals, validate positioning, and feed next month's content. Pricing anchors, stack discovery, painpoint priority, belief tests — plus the Claude prompt and the 2-week rule I never break.
Most lead scoring projects die in week three. The 30-minute version that actually ships: 5 dimensions, a one-paragraph rubric, and one =AI() formula in Google Sheets powered by Gemini. Sales filters by green, you re-score weekly.
