AI content engine, supervised
A Content Engine That Sounds Like You, Not Like AI
Most AI content fails the same way: it is fast, cheap, and reads like everyone else's. The problem is not the model. It is the missing system around it.
Triple & Co. runs content as an engine: Camille extracts and enforces your brand voice, Nova grounds every topic in real buyer demand, and Sage multiplies each asset into a dozen channel-ready pieces. Lihi Pinto reviews every output before it ships, so volume never costs you credibility.
3 specialist agents · 100% human-reviewed · Included in engagements from $5,000/month
The problem
AI Made Content Cheap. It Also Made Most of It Worthless
Every B2B company now has access to the same models, so publishing volume is no longer an advantage. Feeds are full of generic AI posts, and LinkedIn literally added a button for readers to flag them. What buyers and AI answer engines reward now is the opposite: a distinct voice, real expertise, and topics grounded in what buyers actually ask.
Doing that manually does not scale. A freelance writer learns your voice slowly and leaves with it. An agency produces to a brief and bills per asset. In-house teams spend their week repurposing yesterday's webinar instead of creating what is next.
The teams winning content right now are not the ones writing more. They are the ones who built an engine: voice codified, demand researched, production systematized, and a human editor accountable for everything that ships.
The advantage is not access to AI. It is the supervised system around it, and someone accountable for what it produces.
The Triple & Co. model
Three Agents. One Voice. One Accountable Editor.
The content engine is three specialist agents working as one system, supervised end to end by Lihi Pinto.
Camille Owns Brand Voice
Camille extracts your voice from your existing content and applies it consistently across every channel, so your company sounds like itself, not like every other B2B SaaS on LinkedIn. She delivers voice extraction, asset rewrites, and a tone guide your whole team can use.
Nova Grounds Strategy in Demand
Nova maps the content landscape in your category, surfaces the topics your buyers actually search, and hands you a content strategy grounded in real demand, not guesses: competitive gap analysis, an intent-based keyword map, and ten content plays sized by demand.
Sage Multiplies Every Asset
Sage takes the content you have already produced and multiplies its reach: one webinar becomes a dozen LinkedIn posts, three articles, an email sequence, and a lead magnet. She scores your library by leverage and maps every asset to its best channel.
How B2B Teams Usually Buy Content
| Freelancers | Content agency | Triple & Co. engine | |
|---|---|---|---|
| Brand voice | Lives in one person's head | Approximated per brief | Codified and enforced by Camille |
| Topic selection | Whatever was assigned | Editorial calendar | Mapped to real buyer demand by Nova |
| Repurposing | Rarely happens | Billed per asset | Systematic, every asset multiplied |
| Quality control | You are the editor | Account manager review | Human review on every output |
| Cost model | Per piece, adds up | Retainer per channel | Included in one engagement |
You get the output of a content team and the consistency of a single editor, inside one engagement instead of a vendor stack.
Your AI team
Meet the Agents Behind the Execution
Eight AI specialists, each trained for a specific marketing function, supervised by Lihi, zero unsupervised output.
Built for B2B
Volume Without the AI Slop
The engine is built for the way B2B content works now: buyers research through AI engines, founders build audiences, and generic content gets filtered out.
A Voice AI Filters Cannot Flag
Because Camille writes in your extracted voice and a human reviews every piece, output reads like your team on its best day, not like a model's median answer.
Content AI Engines Cite
Nova targets the questions buyers ask ChatGPT and Perplexity, and everything ships with the structure and schema AI engines need to cite you as the answer.
Compounding, Not One-Off
Sage makes every flagship asset work across channels for months, so the library compounds instead of resetting every quarter.
FAQ
AI Content Engine Questions, Answered
Want the full marketing function, not just content? See CMO as a Service .
Stop Feeding the Feed. Start Compounding.
One supervised content engine: voice, strategy, and repurposing running daily, with a human accountable for every word.
Book a 30-Minute Revenue Diagnostic →No pitch. You will leave with 3 specific growth gaps, whether we work together or not.