Insights
Proof & field notes.
How we build AI systems that do real work. Case studies from live client engagements and practical guides from the things we ship.
Case studies
Shipped, in production
Zoho CRM follow-up agent
A human-in-the-loop AI agent that drafts context-aware email and LinkedIn follow-ups from Zoho CRM: researched, reviewed, and sent on approval. No rip-and-replace.
WhatsApp + voice lead agent
NudgeFlow orchestrates follow-ups across WhatsApp and AI voice calls. Policy-driven, idempotent, with human handoff. Built for ClickPe (YC S23).
Distributor catalog pipeline
A distributor was retyping supplier price-list PDFs by hand. We built an AI pipeline that extracts, structures, and matches them into a clean catalog in minutes, not days.
X DM outreach engine
An automated X/Twitter DM system built to stay unbanned: humanized timing, office hours, daily caps, reply detection, and A/B sequencing with a management dashboard.
AI cold-email on AWS SES
A cold-email system you own: AI personalizes copy, AWS SES sends one message per recipient, and suppression + bounce/complaint handling protect the sending domain.
Guides
Field notes
SES tenant-level suppression
Amazon SES added per-tenant suppression lists in June 2026. Here is how account, configuration-set, and tenant-level suppression fit together, and when to use each.
FTC disclosure for AI UGC
Running AI-generated UGC ads in 2026? The FTC now expects two disclosures: commercial relationship and AI involvement. Here is the practical checklist and placement rules.
WhatsApp + voice follow-up guide
How to orchestrate lead follow-ups across WhatsApp and AI voice calls without spamming: policies, idempotency, human handoff, and the funnel metrics that matter.
Price list PDF → Excel
Stop retyping supplier price lists. Here is how an AI extraction pipeline turns messy distributor PDFs into a clean, matched Excel catalog, and where to put a human check.
Automate X DMs safely
The safe-outreach playbook for automated X/Twitter DMs: human-paced sends, office hours, daily caps, reply detection, and the patterns that trip detection.