AI systems to solve real work.
Organised along four lines: marketing, demand generation, operations and content. Each one solves a concrete problem, not a tool demonstration.
The difference between using a tool and building a system is the same as between asking someone for an idea and setting up a team that works on its own.
The first saves minutes. The second changes what an operation is capable of.
Systems, not loose prompts.
AI for marketing
Assistants configured with their own context for a specific function: market research, competitive analysis, generation of commercial documents or support for a particular operation.
AI for systems and operations
Chaining tasks that used to be done by hand: gather, organise, draft, review and deliver, with the judgement defined in advance.
AI for research and analysis
Opportunity radars, market and competitor tracking, and synthesis of scattered information into material that supports a decision.
AI for content and social commerce
Script, image, video and editing assisted by generative AI, at enough volume to test formats properly rather than once.
AI-assisted prospecting and lead generation
Company search, identification and qualification of prospects, and organisation of the database for follow-up. AI-assisted, with human review at every step: it is not a finished automated system. In development.
Document generation
Executive documents, presentations and analyses produced with a defined structure and human review on every delivery.
The laboratory
A real laboratory: social commerce on TikTok Shop Brazil.
Compra com Sentido, on TikTok Shop Brazil. Not a weekend experiment: a sustained content operation, with a sales strategy behind it.
Ongoing
Content production at scale
- Commercial strategy and conversion script.
- Production with generative AI: image, video and editing.
- Enough volume to test formats, not to illustrate an idea.
- Measuring what works and what does not, format by format.
Where this saves money, shortens timelines or opens a channel.
Saves money
Work that used to require an external vendor for each piece is now produced in-house, with quality control and without losing the brand standard.
Shortens timelines
Market research or a competitive analysis that took weeks is delivered in days, with the same depth and the sources in plain sight.
Opens a channel
The volume of content that social commerce demands was out of reach for a small team. With a system behind it, it no longer is.
Shall we talk about applied AI?
If your team is testing loose tools and wants to move to a system that can sustain an operation, let's talk.