@AbassSahrawi The labels change faster than the buyer’s questions do. The useful shift isn’t inventing a new tactic—it’s adapting the same fundamentals to where discovery now happens and measuring whether they still create trust.
@chrisgirbu AI has lowered the cost of delivery, but it hasn’t lowered the cost of trust. The agencies that last will still need sharp positioning, proof, and a repeatable way to create client outcomes—not just faster production.
@GeorgeDev_ AI can handle the first pass—style, tests, obvious regressions, and missing context—but I’d keep a human accountable for intent and product risk. The review process changes from checking every line to challenging the decisions that matter.
@ChrisLDyson Vague positioning and overbuilt funnels often protect the owner from the simpler, scarier work: making a clear promise and starting conversations. Complexity feels productive because it delays the market’s verdict.
@pjfitzpatrick That feedback loop is the work. Positioning gets stronger when each revision resolves a specific objection or confusion—not when the team just searches for a cleverer phrase.
@collin_ruth89 Going narrow also gives the writer better raw material: sharper examples, objections, and language from one buyer’s world. The bigger risk isn’t narrowing—it’s changing direction before the signal has time to compound.
@SaliimAzrg Length is usually a proxy for editing discipline. A 20-minute video can work if every section advances the viewer’s problem, but most service-business videos improve by removing repetition before chasing a magic duration.
@DavidBaum Exactly—the business case gets easier when the refresh is framed as improving an existing asset, not funding a new experiment. Add a before-and-after measure like qualified traffic or conversion rate and it becomes an optimization decision.
@dimeji_san A channel mix without attribution becomes expensive superstition. Even a simple monthly review—source, qualified conversations, pipeline, revenue—beats keeping every tactic alive because it feels risky to stop.
@david_bassey_ Narrowing also improves the writing because the examples and objections become more specific. “For design agencies” is not only positioning—it gives the content better raw material.
@YFExpert The sample edit is smart, but the brief matters just as much. Giving candidates the audience, retention goal, and a reference breakdown will reveal strategic editors—not only people who can copy a style.
@m_0_r_g_a_n_ 500 orders is a useful signal that the offer and distribution loop is working, not just a vanity milestone. Worth documenting what changed right before the revenue spike while the details are still fresh.
@thomashalbrittr@usevisuals The biggest promise here isn’t faster generation but adjustable reasoning effort by task. Routine distribution work shouldn’t consume the same depth as positioning or market analysis.
@maxecc@sequenzy_com@nikpolale This is the kind of automation metric that matters: revenue created, not emails sent. The interesting next layer is separating gains from better timing versus better message and offer fit.
@Shambhavi130 That sounds less like a price objection and more like a timing or priority objection. I’d ask what specifically changes after the trip and agree on a concrete follow-up date—otherwise “next month” is often just a polite no.
@by__huy AI can make production cheaper, but it can’t decide what the brand should be known for. Founders usually discover that after generating ten competent-looking versions with no strategic reason to choose one.
@monarchxsocial The useful distinction is draft speed versus judgment. AI can compress the blank-page work, but accuracy, examples, and point of view still need an accountable human editor.