Recruiting & Team

Building and managing the right team is the lever that separates agencies that plateau from those that scale past six figures a month. The sources in this chapter — agency owners ranging from solo operators to multi-creator Czech and UK operations — converge on a few hard lessons: specialization beats generalism, systems must exist before headcount grows, and the wrong team member in the wrong role costs far more than their salary.

9 videos · sources May 2025–Jun 2026 · updated 2026-06-06

Key Points

Why Team Structure Is the Real Bottleneck

The most common misdiagnosis in a struggling agency is blaming external factors — Instagram bans, platform changes, unresponsive models — when the actual failure is internal. Oliver Smole's live audit of Honza's 12-creator Czech agency makes this explicit: Honza believed bans were the primary bottleneck, but once they worked through the agency together, it became clear the systems were missing entirely. "The bans are actually the smallest problem," Honza concluded after the onboarding call. (Oliver Smole, Jun 2026)

Smole uses a bucket analogy that cuts to the heart of it: an agency with good chatting, a strong team, and reliable acquisition is a full bucket. Bans create one hole at the bottom — annoying, but manageable. But if there are already ten holes from bad chatting, no KPI tracking, unfocused staff, and an over-extended creator roster, one more hole from a ban wave drains everything dry. Fixing the most visible problem (bans) while ignoring the structural ones is the equivalent of changing tires on a car with a failing engine. (Oliver Smole, Jun 2026)

The Czech agency was running 13 to 16 hours a day of combined effort across the team, yet revenue was stagnant. The problem wasn't work ethic — it was that no single person owned any single function deeply enough to improve it. Everyone was doing everything, and as a result no one was excellent at anything. That dynamic is what Smole identifies as the core staffing mistake most agencies at the $50K–$100K/month level make. (Oliver Smole, Jun 2026)

Specialization Over Generalism — Building Role Ownership

Smole's prescription for Honza's agency — and the general principle he applies to agencies in his program — is straightforward: you need one specialized member per sector, and that person needs to become the best in the market at their specific function. The functions he identifies explicitly are media marketing, lead management, and lead acquisition. When five people all do everything, everyone operates at roughly 25% capacity in every area.

When one person spends every working hour on, say, the backend of OnlyFans accounts, within two months they are a genuine expert and the CEO can trust them with that domain entirely. (Oliver Smole, Jun 2026)

The accountability that comes with ownership is just as important as the expertise. If one person owns chatting KPIs, the moment those numbers drop it is their problem and they wake up motivated to fix it. In a diffuse structure where chatting is everyone's job, a declining chat-to-sale conversion rate goes unnoticed for weeks — the damage shows up in revenue a month later, by which time the agency has lost significant income chasing a problem no one identified.

Smole notes that chatting issues specifically tend to surface in the numbers about two weeks after the behavior changes, and in revenue roughly a month after that. (Oliver Smole, Jun 2026)

Markuss Hussle, running his agency out of Dubai and hosting an in-person mastermind, echoes this from the agency owner's perspective. The mastermind format itself — bringing top agency operators into one room to share ideas — reflects a belief that specialization and peer learning compound on each other. He explicitly structures his team so that dedicated experts handle marketing, chatting, and client acquisition rather than having generalists attempt all three. (Markuss Hussle, May 2026)

For the agency owner personally, role clarity is equally liberating. Smole describes the anxiety of being the single point of failure: if a chatter needs something fast and you're on a plane, you can't help. If you're the only one who understands the backend and something breaks during a workout, you're on your phone mid-set. Once each function has an owner, the CEO can leave their phone alone for a weekend and revenue holds steady. The CEO's actual job then becomes three things: hiring, acquisition, and systemizing. (Oliver Smole, Jun 2026)

The Creator Roster — Pruning Before Scaling

One of the most counterintuitive insights Smole delivers — and one Honza confirmed from painful experience — is that adding more creators is often the wrong move. Honza's agency tried to sign every creator they could find, applying the same blueprint to everyone. The result: their top earners dropped 50% as attention was diluted, while the new additions produced only $2K–$4K/month each. The agency's total creator roster grew from around 12 to 16 and back down, and revenue shrank in the process. (Oliver Smole, Jun 2026)

Smole states the economic case bluntly. If a creator is doing below $10K–$15K/month in revenue, and you account for a full 24-hour chatting team, outfit costs, CRM subscriptions, ad spend, the creator's cut, and most importantly the opportunity cost of the CEO and team's time spent on that account — you are losing money. A creator that appears profitable on paper is often destroying value that could be redirected to a creator who would 3x or 4x under the same attention. (Oliver Smole, Jun 2026)

The practical fix is to score creators before adding them and to periodically audit the existing roster. The criteria Smole enumerates include: what is the creator's unique selling proposition, how available are they to shoot content, do they already have a following or earnings history, how conversational and responsive are they, and are they loyal and reliable over time. Applying a score to these dimensions turns a gut-feel decision into a manageable process.

The agency that had 30 creators with only four profitable ones — another case Smole references — needed to stop adding bodies and identify the golden four before doing anything else. (Oliver Smole, Jun 2026)

Will Mammone makes a similar point from the content side: the shift toward authentic, original content on Instagram means each creator now demands significantly more creative attention from the agency team. In that environment, spreading team bandwidth across twenty mediocre creators is catastrophically expensive. Mammone explicitly states that only the top 1% of agencies have the skills to market creators effectively in the current landscape, and those agencies cannot afford to waste that skill on creators who won't convert. (Will Mammone, May 2026)

Hiring and Managing Virtual Assistants

Yalla Papi articulates a mindset shift around hiring that is relevant to anyone building out their first VA team: stop waiting until everything is perfectly systematized before bringing people on. His framework — asking what the $10 million version of himself would do — helped him realize that a $400/month VA is trivially small from that perspective, yet his loss-aversion was blocking the hire. Once he reframed it, he hired three VAs simultaneously to run Threads traffic accounts, without completed SOPs, without a fully dialed-in strategy.

He accepted that it might not be profitable for three months (approximately $3,600 total investment) because the field data and iteration speed that three VAs provide is worth far more than that. (Yalla Papi, May 2026)

The practical lesson here is that VAs generate data, and data is the only way to improve a strategy. When @ofmwizard hired three VAs to run Threads accounts, they ran into an early problem: the accounts were getting suspended and the VAs didn't know they could appeal the suspensions. They were just marking accounts as banned and moving on. The discovery — made by actually reviewing what the VAs were doing — stopped a large source of unnecessary churn. That kind of operational intelligence only becomes available once people are actually executing and being managed. (ofmwizard, May 2026)

Damir Nurzhanov structures his VA team around specific functions within the Instagram Reels Farm system. He distinguishes an account creator VA (who fills out the Airtable tracking sheet, generates usernames, selects phones and model assignments, and marks accounts as created) from a poster VA (who logs into the remote phone access software, scrolls for one minute, posts the reel, scrolls another minute, posts, and repeats for three reels per account before closing the app and moving on). These are distinct roles with distinct SOPs, not a single generalist doing everything. (Damir Nurzhanov, May 2026)

A cautionary note on VA management comes from @ofmwizard's experience with account creation: he tried hiring additional VAs to supplement his existing one (who could make roughly 20 Instagram accounts per day), but the new hires were either too slow to train or didn't produce acceptable work. Rather than continuing to hire for that function, he built a custom Instagram account creation bot using vibe coding, designed to create one account every roughly 40 minutes on mobile devices with full profiles, story highlights, phone verification, and 2FA setup.

The lesson: some bottlenecks are better solved with tools than with more human labor. (ofmwizard, May 2026)

The Chatting Team — Roles, Supervision, and Motivation

The chatting team is where most of the day-to-day revenue is actually generated, which makes it the most consequential hiring and management decision an agency makes. Luca Pritchard is unambiguous that chatters must be running tested, structured sequences — not typing whatever feels right. The difference between top agencies and average ones isn't the subscriber count; it's what happens inside the chat. Chatters at top agencies execute a tiered selling system with different price points, different content, and different message frequencies depending on which spending bucket the fan is in.

That requires training, supervision, and ongoing accountability. (Luca Pritchard, Jun 2026)

@ofmwizard frames the belief problem directly: a chatter who doesn't think he can make money won't make money, regardless of commission incentives. If a chatter has a few bad conversations, decides the model is unattractive, the content is stale, or the subs are all time-wasters, his performance collapses. The manager's job is to keep chatters in a productive belief state — pointing to evidence that the content converts, that the right fan will spend — rather than letting individual bad sessions spiral into a performance rut. (ofmwizard, Jun 2026)

Pritchard is explicit that AI chatting is a trap as of the time of his recording. He acknowledges AI may improve in a couple of years, but states it cannot handle objections the way a human can, particularly in the psychologically nuanced context of escalating a fan from a $10 initial purchase through a $25, $45, $65, $100+ sequence and eventually into custom content at $2,000+. The sequence is the system, he says, but the human running it is what makes it convert.

AI is fine for infrastructure tasks — automations, scheduling, data — but not for the live sales conversation with the fan. (Luca Pritchard, Jun 2026)

The KPI chain Smole and Honza discuss for chatting supervision is a practical management tool. The metrics in sequence are: open chat rate (how many fans are starting a conversation), selling chat rate (how many of those conversations become a pitch), conversion rate (how many convert to a purchase), script completion rate (how many go through the full sequence), and aftercare and renewal rates. Each metric diagnoses a different failure. If open chats are fine but selling chats are low, the welcome script is weak and chatters need bonding training.

If conversions are low, the chatter isn't capitalizing on subscriber curiosity. If script completion is poor, the pricing ladder may need adjustment. Without tracking all of these separately, a manager can only say "chatting is bad" without knowing what to fix. (Oliver Smole, Jun 2026)

On the question of fines vs. patience: Yalla Papi describes his earlier approach — docking pay immediately when a chatter didn't meet expectations — as something he has since moved away from. He now aims to be more conscientious about how team members are managed, which he argues reduces tension and keeps performance more stable over time. He is careful to note he is still the employer and still holds people accountable; the shift is in how quickly he escalates to financial penalties.

Whether this is the right approach universally is not settled across sources, but Papi reports it working better for him personally. (Yalla Papi, May 2026)

KPI Tracking as a Management System

Honza's agency tracked almost nothing before joining Smole's program. The closest thing to a KPI system was noting whether the agency made money that day, then going into the chats manually to look for obvious problems. There was no sheet showing day-by-day or week-by-week movement. There was no first PPV buy rate, no second PPV buy rate, no open chat rate, no average spend per fan, no average spend per transaction. (Oliver Smole, Jun 2026)

Smole's point about tracking is that the numbers themselves don't put money in the bank. The value is that they let you see the specific problem, and different problems have different fixes. You can't work on everything at once — Smole notes that with a hundred things to potentially improve and a human capacity to focus on only one at a time, there's roughly a 99% chance you picked the wrong thing to focus on without data. KPI tracking reduces that error rate by surfacing the actual constraint rather than letting you guess. (Oliver Smole, Jun 2026)

Damir Nurzhanov implements this at the traffic level using an Airtable account-tracking dashboard that can handle 1,000+ Instagram accounts. Each account entry includes the phone it runs on, the model it's assigned to, the content type, the Google Drive link to its content folder, and what was posted on a given date. The marketing manager can look at the dashboard and immediately see how many accounts are healthy, what content type each runs, and where the content pipeline stands.

This is the organizational equivalent of KPI tracking for the traffic team — visibility into the operation without requiring the manager to manually check every phone. (Damir Nurzhanov, May 2026)

The practical reason Honza's agency stopped its downtrend after implementing KPI tracking was not that the numbers themselves fixed anything — it was that tracking the open chat rate revealed that chatters were trying to sell fans before they had even started a conversation. That single insight led to an immediate change in chatter behavior, which immediately stabilized revenue. The problem had existed for weeks or months; it just hadn't been visible. (Oliver Smole, Jun 2026)

Traffic Team Setup — Devices, Account Creation, and Organization

Nurzhanov's Instagram Reels Farm tutorial is the most detailed operational breakdown of a traffic team setup in any of the source transcripts. The core infrastructure question — where to host accounts — comes down to device choice. His team uses Android devices because each physical Android can host approximately 50 Instagram accounts (running as separate virtual devices inside the phone). Standard iPhones running without modification allow roughly one device and three accounts. The much higher density per device is why Android is preferred for scale. (Damir Nurzhanov, May 2026)

A key operational change that Nurzhanov credits with reducing ban rates is using physical SIM cards rather than virtual or eSIM options. The logic is that Instagram's trust scoring tries to identify real users, and a real user uses a real device with a real SIM. His team had not tested eSIMs at the time of recording and recommends others do their own testing. For account creation, they shifted from using aged Gmail accounts (which cost approximately $3 each) to phone numbers from SMS verification services, which run approximately $0.50 per number — substantially cheaper at scale. (Damir Nurzhanov, May 2026)

The posting cadence is three reels per day per account, executed via a specific routine: the poster logs into the remote access software, opens the account, scrolls for one minute, posts a reel, scrolls for one minute, posts a second reel, scrolls for one minute, posts a third reel, closes the account, enables airplane mode, and moves to the next account. Nurzhanov dispels the warmup myth explicitly — his team tested creating accounts and posting on day one (with only a three-minute scroll for warmup) and still achieved millions of views in the first days.

The five-day warmup period that many creators swear by is, in his testing, unnecessary. (Damir Nurzhanov, May 2026)

To manage accounts at scale, Nurzhanov's team uses Google Drive for content storage (organized by device, then by username, then by date) and Airtable for account tracking. Each device folder contains subfolders for each account username, and each of those has folders by posting date. The Airtable base tracks the account's assigned phone, assigned model, content type, creation date, posting status, and Google Drive link. The poster VA knows exactly which account to log into, where to find the content, and what has already been posted.

The account creator VA fills in new rows as accounts are created. The system is designed to scale to over a thousand accounts without the manager needing to personally direct each action. (Damir Nurzhanov, May 2026)

@ofmwizard ran a parallel traffic team experiment using three VAs on Threads accounts, each VA running accounts on physical phones and treating them as real users — browsing, commenting, posting — rather than running automated scripts. The goal was to build accounts that last long enough to accumulate real follower counts rather than churning through short-lived accounts. The initial results showed some accounts getting 10,000–15,000 views within three days.

The main problem was account suspension and an early failure to appeal those suspensions, which was corrected once identified. Whether to chase longevity or accept churn-and-burn is a genuine fork in the road: @ofmwizard preferred longevity, while Nurzhanov's Instagram farm leans on the "new accounts go viral" insight and accepts ongoing creation as a cost of doing business. (ofmwizard, May 2026)

Agency Owner Mindset and the CEO Trap

Several of the sources in this chapter return repeatedly to the idea that the agency owner's internal state — their beliefs, their relationship to failure, their willingness to hire before everything is perfectly ready — drives team performance as much as any tactical decision. @ofmwizard frames this as four distinct belief problems: not believing success is possible, having unresolved hangups about the business model, having accumulated trauma around repeated failures (particularly in traffic generation), and not believing personal success is deserved.

Each of these produces specific behavioral failures that look like strategic problems on the surface. (ofmwizard, Jun 2026)

Honza's case study is the clearest example of the CEO trap: he was putting in 13–16 hours a day, believing the problem was just needing more volume and better quality. He had no system in place, no specialized staff, and no KPI tracking, but he interpreted all negative outcomes (bans, declining revenue) as marketing problems requiring more effort rather than systems problems requiring structural change. The realization that came through the program was that the problem was a knowledge problem, not a work ethic problem. (Oliver Smole, Jun 2026)

Yalla Papi's practical version of this is the "$10 million version of me" heuristic: before making any decision about hiring, spending, or building, ask what the more successful version of yourself would do. A person worth $10 million doesn't agonize over a $400/month VA hire. They don't delay fixing a shoulder injury because they're not yet successful enough to deserve the appointment. They don't postpone building agency-generated traffic because the method isn't perfect yet.

Applying this lens repeatedly across both business and personal decisions gradually closes the gap between current behavior and the behavior of someone at the success level you're targeting. (Yalla Papi, May 2026)

The Japanese concept of kaizen — roughly, 1% better every day — is the framework Papi applies specifically to traffic development. Rather than waiting for a fully formed perfect strategy and then executing it flawlessly from day one, the approach is to start with the best available information, execute it, note what worked and what didn't, and make small adjustments the next day.

He argues explicitly that if an agency owner would spend $7,200 over six months to arrive at a reliable, agency-generated traffic source that doesn't depend on the model, they should start today — because those six months will pass regardless, and the question is only whether you'll have the traffic method at the end of them. (Yalla Papi, May 2026)

Sources

  1. Luca Pritchard — "The Chatting System Behind $300K/Month OF Agencies" (Jun 2026)
  2. Oliver Smole — "Watch Me LIVE Fix A $95K/Month OFM Agency In 41 Mins" (Jun 2026)
  3. @ofmwizard — "4 Reasons Your OFM Agency Is DEAD In The Water" (Jun 2026)
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