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Gary Vaynerchuk predicts that over the next 5-10 years, as society goes deeper into AI, the big winners will be analog businesses — landscaping, restaurants, running clubs, hiking tours, ski instructing — and that an explosion of analog activities is coming. He frames the opportunity as building businesses like it's 1965.
forward-looking prediction by the speaker
GaryVee advises small business owners (via the hypothetical Sally) to share real stories: how she bootstrapped or inherited the business, her day-to-day troubles, and how she thinks about them.
Felipe Felisola Caso advises that when building agents in a regulated environment, teams should separate agent infrastructure from production and control non-determinism.
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Felipe Felisola Caso repeatedly advises that to give agents safe access to data, teams should connect the MCP server to everything they care about and let the orchestration system handle the rest.
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When verifying extracted accounting data, use the balance printed on the statement as the control total for each month.
Doneyli recommends monitoring for security risk flags where the agent might have given investment advice to customers, and filtering traces by categorical scores (e.g., security risk = investment advice) to find specific examples where the agent was flagged. In his example, 89 cases over the last seven days involved customers asking for investment advice.
Doneyli recommends building a dashboard of metrics to report to business stakeholders based on data collected from the agent. Track the number of agent interactions that didn't need to go to a human agent as a business-benefit metric, and calculate the cost of agent-handled interactions versus human agent cost to show directional business benefit. Also pinpoint the areas where the agent is tripping up by tracking failure modes in order of occurrence, and track thumbs up / thumbs down customer feedback displayed in an easy-to-consume dashboard.
Impersonate different client types (e.g., everyday customers and ultra high net worth individuals) to test whether the agent respects guardrails for those personas.
endorsed
Curate a red-teaming dataset that looks for prompt injection attacks and any attack that would allow someone to circumvent guardrails and get information they shouldn't. Also curate datasets specific to a use case — e.g., knowing which cases have been disputed and whether the dispute has not been solved.
Kade Hinkle recommends sending 30 LinkedIn connection requests per day to ICP prospects, engaging with their posts, and posting your own content. He presents this as one of his top-three actionable takeaways for social selling.
Kade Hinkle recommends watching for buying signals — hiring SDRs, a funding raise, or an upcoming renewal with the current tool — as the right time to reach out. He treats a prospect's hiring posts as a signal that it's time to reach out because they're scaling the team.
Kade Hinkle structures his cold call pitch as relevant observations about the prospect's business, a hypothesized problem, one sentence about his solution, and then a low-pressure CTA. He offers a no-risk fallback: 'worst case scenario, I can share some free stuff that might be valuable in the short term' so the prospect loses nothing by talking. In video outreach he uses a similar CTA: 'worst case scenario, we can share how this team booked 75% more pipeline after one quarter using the strategy' to lower the stakes of responding. The host notes the same structure maps to personalized video messages, like the first 90 seconds of a good cold call.
Kade generally sends a connection request first and calls later in the day. About 90% of the time he's pitching right after connection acceptance, and in those pitches he gives two ideas for using his tool. He doesn't take too many takes on LinkedIn messages — usually just two to three.
Sam describes a playbook for acting on profile-viewer alerts in Sales Navigator: send a connection request (not an InMail or cold message), then tailor the note to the relationship — a nurture note for first-degree connections, a peer-reference note for unknown contacts, and a team-reference note for contacts at companies with active opportunities.
For the DOB (draft on behalf) approach, get the person internally at your company who is connected to the prospect to message them on LinkedIn. This works because prospects are more likely to reply when they know the person or know of the person messaging them. Structure: context and personalization, followed by the challenge, then the call to action. Example message: 'Hey Billy, we cross paths when working at 30MPC. Hope everything is well. Your name was brought up by one of our reps, Charlie. She mentioned seeing growth in the SDR team when researching you. We're speaking to a lot of SDR managers at the moment who are looking at ways to decrease the time it takes to get to a meeting or to get to a yes or no. Is this something remotely on your mind right now? Either way, great to see the'
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Groundswell means adding the lower-level employees of your target accounts on LinkedIn using a blank invite. This benefits the seller in two ways: mutual connections increase the chance that decision-makers accept your connection request, and it enables detective work with those employees.
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Once reps accept your connection request, message them to do detective work: ask questions that help you shape your messaging to their leadership. The goal is to make the message to leadership as relevant as possible. Open with 'Hey, can I ask a random question?', verify whether a past engagement is still current ('When we spoke to your CRO, Dave, last year, is this still the case?'), and validate draft messaging before sending it to their VP of sales ('Feel free to tell me to bugger off, but I'm about to send an email to your VP of sales. My email mentions X, Y, Z might be a focus — is this completely off or something the team are talking about?').
example questions are specific to Charlie's scenario and may need adjusting for different personas
Charlie's favorite messaging approach: don't open with sales messaging — the aim is to get the prospect used to replying. Structure: personalization, followed by challenge, followed by offering value-add. Example message: 'Personalization: aggressively building the top of sales funnel, reading your job buyer on LinkedIn Billy. Sales Loft and Benchmark Kit did a study where 55% of companies shared that Pipeline Gen was their biggest challenge. If it's the same challenge for your team, want me to share the process I've used that's helped me build 200K in pipeline last month?' When offering content, share external material rather than internal marketing copy — external adds more credibility. If the prospect says yes, you know they have the challenge you solve for. If they don't reply, follow:
the 55% study figure is a secondhand citation; the 200K pipeline figure is self-reported
Use the Spotlight filter in Sales Navigator (bottom left of the filter section) to find quick wins. Charlie recommends three: (1) 'following your company on LinkedIn' to surface people already aware of your company, (2) Team Link Intro, which surfaces people in your company connected to stakeholders in target accounts, and (3) 'changed jobs in the past 30 days', since new hires usually have a specific reason for moving (a targeted project or chunky goals) and are more receptive.
Team Link Intro's impact is Charlie's self-reported experience
Import target accounts into Sales Navigator, create a new Lead Filter search, and use the Account List filter under the Workflow heading to show only stakeholders from those accounts. Then further filter by the specific seniorities you are targeting so only stakeholders worth pursuing appear.
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