Multi-agent AI system automating weekly executive intelligence brief.

TextNow's market moves on a weekly clock. Carrier pricing shifts, MVNO promotions, and the cultural and economic conditions that shape how customers think about their phone bill can all emerge and fade within seven days. Through 2025, I was meeting that intelligence need on a quarterly cadence, delivering structured reports to TextNow’s product, marketing, and strategy teams. For 2026, TextNow asked me to close the gap between the cadence those reports ran on and the cadence the market did. Build something that delivers market intelligence at the speed the market actually moves, reliably enough to plan against, and automated enough that it didn’t depend on me scouring the internet 24/7.

What I designed is a multi-agent AI system built on Claude’s skills architecture. A sequence of eight specialized analyst personas runs each week, each one bringing a distinct analytical lens to the same source intelligence. The choice of lenses came directly from my own experience doing intelligence work for consumer brands: these are the perspectives you have to take to read a market well, and the system bakes them in.

• A researcher gathers the week’s moves with rigorous sourcing.
• Two consumer analysts interpret the intel through TextNow’s two audiences: an everyday-survivor lens for the income-constrained current customers who treat phone service as essential utility, and a flexor lens for the higher-agency gig workers and freelancers who refuse to overpay on principle, not necessity.
• A business analyst reverse-engineers the unit economics behind competitor moves.
• A cultural analyst surfaces what’s happening in pop culture, social media, and parenting discourse that shapes how TextNow customers experience the world.
• A pattern-matcher connects current moves to telecom history and calls out which moves are old playbooks dressed up versus which moves are genuinely new.
• A contrarian reviews everything above and challenges the consensus interpretation.
• A synthesizer integrates all of it into the final brief, organized by stakeholder team. The internal analyst machinery stays internal; stakeholders see one coherent brief.

The system also archives a longitudinal memo at the end of each run that future runs read in, so the synthesizer can surface patterns recurring or intensifying across weeks.

The whole pipeline runs weekly via Claude Cowork on a scheduled job. The brief now lands in TextNow’s inboxes every week without anyone touching it, and the intelligence it surfaces has informed real decisions across business strategy, product innovation, and marketing on both the product and brand sides. The automation has also freed up real resources on both sides: time I’d been putting into quarterly report production has gone into other strategic work, and time TextNow had been spending interpreting and circulating those reports has gone into product innovation in a category that’s getting more competitive and commoditized by the month.