To hand a project between agents, provide the objective, current decisions, verifiable status and next authorised task. Include references to files and completed checks…
Installing many skills can worsen work when it introduces contradictory rules, unsuitable procedures or choices that are difficult to distinguish. Quantity alone neither…
Create a skill when a task recurs, you already understand its quality criteria and you want to preserve a useful procedure. Save the objective, required materials, steps…
A CLAUDE.md or AGENTS.md file should gather project instructions that remain useful for future work: objectives, boundaries, confirmed decisions and ways to verify…
You preserve project context between sessions by saving decisions, work status and necessary references in documents you can consult again. Conversation helps execution…
An automation can create more work than it saves when the team must correct results, reconstruct context or handle exceptions without reducing total effort. Compare the…
Separate assistants when tasks require sufficiently different instructions, sources or limits to justify their own contexts. Specialisation should reduce confusion and…
Introduce AI through a bounded task, with someone responsible for comparing its result with the expected work. Start with analysis support or draft preparation and make…
You reduce dependence on one supplier when you can recover your data, explain your instructions and continue the process outside the interface where you started. That…
Asking AI to review everything repeatedly only makes sense when each review seeks a relevant error and has a completion criterion. Without that criterion, you add…
To turn a team procedure into an automation, first describe the expected result, required information, decisions and exceptions. Observe an actual execution and make…
Choose between n8n and a custom application by identifying what is growing: integrations, human interaction, rules or data management. A larger workflow may need better…
An automation can work in a demonstration and fail in a business because the data, people and operating conditions differ. A demonstration confirms one possible path…
Choose speed according to the task and the quality needed to complete it. A fast model may work well for simple classification, while an analysis with several…
Autonomy should depend on permitted actions, the consequences of an error and whether you can verify the result. An assistant can prepare useful work without executing…
Before automating a task, confirm that someone needs its output and that its frequency makes sense. If the routine no longer supports a decision, a delivery or a…
To prevent isolated automations, make the objective, data, owner and actions of each process visible. The team can keep experimenting, but work that starts serving other…
You should leave a tool when the cost and limitations of continuing exceed the expected benefit of keeping it, after allowing for the transition. Money already spent…
To measure the return on an automation, compare the actual work before and after, including review, corrections, maintenance and team adoption. Measure recovered time…
In an automated process, people should retain decisions involving insufficient context, consequences that are difficult to reverse, or a need for negotiation and…
An automation owner should monitor results, handle exceptions, keep rules current and decide when execution needs to stop. That person must understand the process and…
A small team's first AI pilot should address a limited, frequent and verifiable task, with available data and a named owner. Choose an experiment that allows mistakes to…
To automate a frequently changing process, start with the stable stages and keep decisions that are still being explored under human review. Separate collection…
An automation can be technically possible without justifying the effort required to build, supervise and correct it. Compare the task's actual frequency with the total…
Buying software makes sense when an existing solution handles a common process well and the team can use it without constant workarounds. Building an internal tool with…
I apply the distinction between feature and benefit, the one I use to write copy, to selling automation and AI services: turning integrations into changes the client feels, without inflating promises.
A simple WhatsApp automation example after a confirmed purchase: what the first message should say, which tools I used, and when a team member should step in.
I revisit tools I've used and still use in the business to explain when paying more makes sense, when testing before buying pays off, and when an old tool stops being worth keeping.
An AI assistant doesn't know your offer, your customer, or your business history. I explain what context is worth giving before asking it to analyse any ad account.
What actually matters when feeding an AI assistant so it stops giving generic answers: behavioral instructions, brand content, metrics and file organization.
When you're starting a business, AI helps prepare materials, organize information and cut down on repetitive work. But that only works if you can explain the service…
Changing the background of an ad doesn't mean you're testing a different message. Before generating images, decide what you want to say and to whom, because otherwise…
I explain the difference between the command center I built for Ad Summit and the multi-client portfolio dashboard vision I described in class, and what is worth taking from that logic.
Before accepting a digital marketing client, I need concrete questions about the business, its margins, its digital assets, and who decides what. A practical discovery guide.
Before letting automation touch an ad budget, I define first the numbers it can and cannot move: minimum spend, daily cap and an alert on every change.
A WhatsApp report is only useful if it helps you decide something within seconds. That means the message needs to state the period, the results that matter, and the…
From a live class where I built a WordPress → Google Sheets → n8n → Gmail workflow on air, I explain why it pays to test each step in isolation before letting an automation run unsupervised.
I choose an AI model by looking first at the concrete task, never at whatever name is trending that week. I define real test examples, compare the cost per run against…
Before asking AI for an opinion on your ads, confirm exactly what you're handing over. Check the period the file covers, which campaigns it includes and what each result…
A practical inventory of tasks, decisions, time, and unmet needs to choose your company's first automation with judgment, including the real cost-per-decision example from class.
If the decision you want to automate rests on numbers and fixed comparisons, a conditional rule solves everything without complications. If the work requires…
The landing page should continue the conversation opened by the advert: confirm the offer, develop the benefit and explain the next step. When people encounter a…
The choice starts with the customer's position: are they already looking for a solution, or must they first recognise the problem and discover alternatives? Search can…
Prepare a creative refresh when consistent signs of weakening response appear, after checking measurement, the offer and operations. Use the history to choose new…
A winning advert can reveal which situation, benefit or objection deserves more attention in your offer. To learn from it, confirm the commercial outcome and investigate…
You are testing an idea when you change the reason someone should pay attention or take the next step. You are testing presentation when you preserve that reason and…
When you have little history, define a test budget around the risk you can afford and the question you need to clarify. Reserve money for execution, measurement and…
If a campaign generated sales but the money has not arrived, base the next spending decision on the schedule of receipts and payments. Confirm the sale, estimate the…
To separate new customers from existing customers, match each sale against purchase history and apply a stable definition of first purchase. Show both groups in the…
Platform CPA measures advertising cost per defined action; CAC aims to measure the cost of winning a new customer. To compare them, confirm the event counted, the actual…
Break-even ROAS depends on the margin available for advertising after the variable costs of a sale. Divide one by the pre-advertising contribution margin, expressed as a…
Before touching an ad I need data that supports the decision. I explain how I use the CPA multiple, time windows, and the rules that protect an account's history.
Before touching budgets, audiences or creatives, there are business questions a strategic media buyer should ask first, about offer strength, real revenue and historical data.
Why optimizing the conversion of visitors already on the store usually matters more than adding traffic, and where the common mistakes that block sales tend to hide.
Before asking AI to write your sales page, gather what only you know about the customer. I explain how to organize that brief, based on a class I gave on copy.
How really listening to customers reveals hidden beliefs no internal brainstorming finds, and how to organise those objections without turning one isolated case into a rule.
Your maximum cost per lead is the customer acquisition budget multiplied by the rate at which leads become customers. Set that budget using customer value, delivery…
If your offer looks the same as several competitors', the client has little basis to decide with any real criteria. Price ends up carrying most of the weight because…
Before requesting a bigger ad budget, identify where opportunities actually get lost. Sometimes demand is genuinely low; other times enough requests arrive but the team…
When I hire someone to work on campaigns, I want to understand how they think about the business. What information do they ask for before spending money? How do they…
To calculate how many clients you need to win, add expected departures to the growth you want over the same period. Then compare retention scenarios while keeping the…
Keeping a client starts to harm the team and margin when it requires recurring effort that the relationship cannot correct or sustain. Assess additional work, effects on…
To distinguish a delivery failure from misaligned expectations, compare what was agreed, what happened and what the client expected to receive. Seek evidence for each…
Before a cancellation request arrives, ask the client what has changed in their priorities, where they encounter difficulty and which results matter to them. Request…
To understand whether a client recognises the value you deliver, compare the work completed, the observed change and what they find useful. Show examples connected to…
Tell a client about a mistake with a factual account of what happened, the known impact and the action you are taking. Accept your share of responsibility and…
When an offer does not sell, first check who saw it, what they understood and why they chose not to proceed. Limited exposure, unclear messaging, low trust and an…
To test a new offer, present a concrete solution to people with the need you want to address and observe the commitment they make. First define what you want to learn…
Before starting a project, ask the client for the information, availability and decisions that make delivery possible. Link every requirement to a specific need in the…
An entry product needs human support when customers face decisions or difficulties that the materials alone cannot resolve within the promise they bought. Assess the…
Adding a product makes a business harder to manage when it creates work, decisions and expectations that the current operation cannot absorb. Before launching it, assess…
A real agency case shows what happens when the team measures revenue and the client measures ROAS. How to agree on a North Star metric before a project starts.
Reflections on training without execution, being the sales bottleneck, closing profitable projects, and the real value of masterminds, from an interview I asked an AI to run on seven years in business.
How I separated my talent from operational work and removed repetitive decisions from my schedule, based on the conversation with Andreia Rocha in class 98 of Sextas Ímpares.
I reflect on when it pays to start with a cheap entry product and when it makes sense to sell high-value services directly, with real examples from my own funnel.
When your schedule is nearly full, taking on one more client has a real cost. A reflection on risk, recurrence and portfolio value from the class on freelance pricing.
Before closing a services client, I weigh business risk, required upfront work, founder maturity and warning signs that can raise the price or make me decline the proposal.
Before any quote, trust is built through the questions you ask and how you define the deliverable. How to work on that perception without relying on followers or titles.
Working on client retention in a services business comes down to generating concrete results, communicating regularly and owning up to mistakes with maturity when they…
Why trying to fix everything in the first week of a marketing or automation project sets an expectation you can't sustain, and how to structure the first month by priorities.
If AI shortens a task, revisit the service built around it: what you deliver, what the client values, and what work still depends on you. In Sextas Ímpares #148, I…
How to calculate your business's cost per decision: time, infrastructure, error and latency, using the lead exercise from class #128 as a starting point.