Chris Sloane 🇻🇦

Every deck your team builds by hand is stale within a week, and you paid for it in hours. Most agency owners still believe senior closers have to burn an evening researching a prospect and assembling a deck before every call. I believed it too. Prep was always the thing that slipped when the week got busy. So we moved the prep out of the rep's hands. Enter a business and a market, and specialized workers run in parallel on search rankings, map visibility, reviews, citation accuracy, AI-search visibility, competitor ads and estimated lost revenue. What comes back is a branded presentation the rep can walk a prospect through. Since December 2024, 496 businesses have been researched before the sales call. No rep built the research. The lead record is created at request and updated with the finished report, so nothing gets re-keyed into the CRM. A prospect told one of our reps it was the best sales presentation they had seen. The rep did not build it. But the rep reviewed it first, and turning that report into a sale stayed entirely with the person on the phone. A request is a request, and we count booked conversations separately. We have run three agencies for more than ten years on our own books. The prep was never the closing. Heaviside AI builds this kind of system inside agencies this size, starting with where the hours actually go.

One account we run posts about four times a day, measures every post and feeds the result back. It drew over 1 million impressions in the 90 days to 25 September 2026. Most agency owners I talk to assume growing an account means more hours at the keyboard. We believed that too. By hand it took us about two hours a day: pick a topic, write, second-guess, post, check, reply. And even then we were guessing which formats worked, because we only checked numbers when we remembered to. So we built the loop we wished we had. Every draft gets scored before it goes out, so weak ones die in the console instead of on the timeline. Every post is measured at 24 hours, so a Tuesday draft competes with a Tuesday draft and comparisons stay fair. The drafts that survive get scored against a memory of what already landed on that account, which means the next batch starts from evidence instead of a blank page. The daily review now runs about 20 minutes a day (est.). Down from those two hours. One account went from 36 followers to 819 in eight weeks (22.7x), February to April 2026. Same account, same voice, same person approving what ships. Because a person still approves. The system drafts, scores and measures. It never decides. Every post that goes out carries an edit a human made, and that line does not move. Growth still depends on posting volume and consistency. This will not grow an account that posts twice a month. What it does is make four posts a day survivable for someone who also runs the agency. We run three agencies on loops like this one, built over more than ten years against our own books. Heaviside AI builds the same kind of system for owners who want the reach without the two hours.

Somewhere in your market an agency your size has moved its repeatable work onto one system. I did that with my own agencies. For years the answer to a new client process was another specialized tool. Every niche need got its own subscription. What I ended up with was a stack of disconnected tools, each holding a slice of the truth, none of them talking. So we built one core system instead. One clean record of every client, pulling numbers from the tools already in use, with repeatable work moved onto it. Our net margin went from 2.6% in 2023 to 17.8% in Q1 2026 and 28.0% for July and August 2026 combined. Revenue per head rose 2.2x between 2023 and Q1 2026, and the client work held. The margin didn't come from software deciding things. Nothing that touches a client, spends money or publishes goes out without a named person approving it. The system does the repeat work, people keep the judgment. If you're adding a tool every time a client needs something custom, the tools aren't the problem. The missing core is.

A daily dashboard check is a receipt, and a watch is a watch. Most agencies only have the receipt. The belief doing damage here: if a media buyer opens the dashboard every morning, spend leakage gets caught. It gets caught the morning after. By then the budget that drifted is gone, and the buyer is reading a receipt for money already spent. We built the watch for our own agencies. Every connected Google Ads account is read every hour, and Meta through the day, so nobody exports anything. Each morning every account with enough history is scored against its own baseline and its industry's benchmark, and unusual moves in click-through, cost per click, conversion rate and spend are flagged by the next morning. The buyer opens a scored list, not fifteen tabs. Our PPC manager's rules come out as proposals too: no-conversion and high-cost thresholds, the search-terms-to-negatives loop, the standard campaign build. Each one arrives with the reason and the before-state attached. Cross-account reconciliation dropped by 10 to 15 hours a week (est.). Nothing touches a live client account without a person saying yes. On Meta it works as an assistant: it reads the whole account and proposes the next moves, and the media buyer approves each one. If you want a first version of your own, start here: 1. List every account and platform your team checks by hand. 2. For each, write down what "normal" is: baseline click-through, cost per click, conversion rate, spend pace. 3. Set one automated read per hour on Google and at least through the day on Meta. 4. Flag anything that moves past its baseline by the next morning, with the before-state in the alert. 5. Put your own buyer's thresholds into the alerts so every flag arrives with a proposed move. 6. Keep one rule absolute: no write to a live account without a human yes. That first list is the whole afternoon. The baselines are where most agencies quit, because nobody has written them down. Do that part and the rest follows. We have run agencies for more than ten years, three of them now, on systems like this, watched on our own books. Heaviside AI builds the same kind of ad-account watch for agencies this size.

54 applications came in for one of our roles. We read six of them. We hired the person the ranking put first. Most agency owners believe resumes must be read in the order received. First in, first reviewed. It feels fair. It is just slow, and it quietly favors whoever applied on Monday over whoever is actually best. We stopped reading in order. We score every application against a weighted rubric before anyone opens a resume. Each role gets six to seven criteria, scored 0 to 10, each with a written reason, combined into one score out of 100. An attached resume gets a second screen, blended in at a quarter of the weight. Then we read only the top of the stack. That role with 54 applications? Six came back marked for a close read. The June hire was ranked first. Across three of our own roles since April 2026, 134 applications went through it and 22 reached the top recommendation, about one in six. There is one automatic close rule, a candidate clearly not US-based, with the reason recorded. A reviewer can overrule it. Who gets interviewed and who gets hired stays with us. The system sorts the pile. It does not pick the person. Monday change: before your next open role, write the six things that actually matter for it. Score every applicant against them, in any order you like, before you read a single resume. We run three agencies on systems like this. Heaviside AI builds the same kind for agencies this size, starting with where your margin goes.

The most expensive research in your agency is the kind your closers do themselves at 11pm. There is a belief in agency sales that your closers should earn their rate by grinding through prospect research before every discovery call. Rankings, reviews, competitor ads, citations, all pulled by hand. We run three agencies and we don't run it that way. We built the research before the call instead. A business and a market go in. Specialized workers run in parallel on search rankings, map visibility, reviews, citation accuracy, AI-search visibility, competitor ads and estimated lost revenue. The lead record is created at request and updated with the finished report, so nothing gets re-keyed into the CRM. The rep walks into the call with a branded presentation built from all of it. 496 businesses have been researched before the sales call from December 2024 to 29 September 2026. No rep built the research. What the system does not do is sell. Turning a report request into a sale stays with the rep. A request is a request, and we count booked conversations separately. Every new client at our own agencies starts with one of these, and the rep reviews it first, because walking in blind with a machine's homework is its own kind of amateur hour. If your closers are still doing the digging themselves, the belief is the expensive part, not the research. Heaviside AI builds this kind of pre-call system for agencies this size, so the selling starts at the call.

The most dangerous email your agency sends this month is the one to a prospect who signed with you last week. Most agencies handle this with a quarterly CSV suppression export. Download the client list, upload it to the outbound tool, done. The belief is that this protects client relationships. It does not. A suppression list is stale the moment it leaves the CRM. The deal that closed Tuesday, the account that flagged do-not-contact Thursday, the renewal that signed this morning. None of that is in a spreadsheet exported three weeks ago. So the cold machine keeps pitching your own customers, and the first you hear of it is an annoyed email from a client asking why your agency does not know they pay you. We run outbound for two of our own agencies, and we stopped trusting exports entirely. Before every send, the system re-reads the CRM for do-not-contact and customer tags. It also checks sending caps, business hours and cooldowns on its own. A person still arms every sequence, and choosing who enters one stays a human call. Replies come back with a proposed verdict, and the ones needing judgment wait for a person. When a verdict says stop, that contact is out for good. Every weekday evening it writes one receipt: what went out, the replies, the cost, the safety checks. One switch pauses everything. The list and the offer still decide the outcome. But at least the machine is no longer pitching the people already paying us. Heaviside AI builds this kind of outbound safeguard for agency owners who cannot afford to cold-pitch a client twice.

Every quarter outbound gets rebuilt from a spreadsheet, and nobody can say who was contacted twice or which customer got a cold pitch. The belief underneath that is the export is good enough. Pull the list, someone cleans it, off it goes. The export is a photo of yesterday. The CRM changed today. A prospect signed, someone asked to be left alone, a tag got fixed, and the spreadsheet never heard about any of it. So we stopped exporting. Now one list goes in and the system re-reads the CRM before every send. Do-not-contact tags, customer tags, caps, business hours, cooldowns. Checked at send time, not at build time. A contact comes out for good once a verdict says stop: not interested, wrong fit, no way to reach a person, or asked not to be contacted. And every reply gets a proposed verdict, while the ones that need judgment wait for one of us. Nothing fires until a person arms it. Who enters a sequence stays our call. It writes one receipt every weekday evening so we can see what went out and what got held back. One switch pauses everything. We have run agencies for more than ten years, three of them now, on our own books. Suppression by export was the last manual guard left on outbound, and it is gone. If you are still exporting lists to keep customers out of cold outreach, the export is the hole.

Your media buyer checks dashboards every morning. The account that's overspending was already overspending at 9pm last night. That's the belief I want to break: that daily dashboard checks are how you catch overspend. They're not. They're how you find out late. We run three agencies. We used to live in those dashboards too. So we built the thing we wished existed. Now every connected Google Ads account gets read every hour, and Meta through the day. Nobody exports anything anymore. Each morning, every account with enough history is scored against its own baseline and its industry's benchmark. Ad history back to 2018 sits in one place, labelled by industry, so the comparison is real. When click-through, cost per click, conversion rate or spend moves unusually, it's flagged by the next morning. Not when someone happens to open the tab. The PPC manager's rules live in the system: no-conversion and high-cost thresholds, the search-terms-to-negatives loop, the standard campaign build. They come out as proposals with the reason and the before-state attached. Cross-account reconciliation dropped by 10 to 15 hours a week (est.). That was the buyer's week, gone to copying numbers between tabs. On Meta it works as an assistant to the media buyer. It reads the whole account and proposes the next moves. The media buyer approves each one. Nothing touches a live client account without a person saying yes. If you want to build a first version yourself, start here: 1. Pull spend, CTR, CPC and conversion rate for every account, hourly for Google, at least daily for Meta. 2. Compute each account's own trailing baseline, plus an industry benchmark if you have the history for one. 3. Flag anything that moves beyond its normal band. Spend first. 4. Turn your buyer's existing rules into proposals: the threshold, the reason, the before-state. 5. Route every proposal to a person. Approval before anything changes. Start with step one on your worst account. The first morning you open your laptop and the list is already waiting, you won't go back to tab-hopping. Heaviside AI builds these systems inside agencies this size, starting with where your buyer's hours actually go.

A bad month you learn about two weeks after it closes costs you twice: once when it happened, and again while you did not know. That lag is a belief, not a law of accounting. Most agency owners think financial visibility means waiting for the books to close. We believed it too, until we built the thing that proved it wrong. Six source systems feed one live money view across our own agencies. Current to the last pull. The accounting, billing, project, time and ad platforms we already used, connected instead of summarized weeks later. It shows the month as it happens: revenue booked, cash collected, expenses posted, payroll due. It shows which clients actually make money, billing against the time logged on their work. And it forecasts cash from each client's payment history against payroll and expenses due, so next month's low point shows early. There are 35+ report views in there, but the owner mostly looks at a handful. P&L, cash-flow forecast, client profitability. The rest exist because the answers were always sitting in data nobody had joined. The visibility changed the outcome, not just the reporting. Our own net margin went from 2.6% in 2023 to 17.8% in Q1 2026 and 28.0% for July and August 2026 combined. You cannot fix a margin you cannot see mid-month. The view never spends a cent or calls a client. It puts facts in front of a person who decides. Ten-plus years, three agencies, our own books. Heaviside AI builds this kind of live money view for agency owners who are done finding out in arrears.

Your weekly PPC spreadsheet is finished after the budget it was supposed to protect is gone. That is the belief I want to break here: that account managers must log in every day to catch overspending or performance anomalies. It sounds diligent. It just does not work at the moment it matters, because the drift happens between logins. We run three agencies. The pattern we kept hitting was the same one you have: revenue up, and the checking work scaling right alongside it. Every new client meant another account somebody had to open, scan and reconcile. So we built the checking into a system instead of a habit. Every connected Google Ads account gets read every hour, and Meta through the day. Nobody exports anything anymore. Each morning, every account with enough history is scored against its own baseline and its industry's benchmark. When click-through, cost per click, conversion rate or spend moves unusually, it is flagged by the next morning, not discovered at the weekly review. The PPC manager's own rules sit behind it: no-conversion and high-cost thresholds, the search-terms-to-negatives loop, the standard campaign build. They come out as proposals with the reason and the before-state attached. On Meta it works the same way as an assistant to the media buyer. It reads the whole account and proposes the next moves. The media buyer approves each one. Nothing touches a live client account without a person saying yes. Cross-account reconciliation alone dropped by 10 to 15 hours a week (est.). Ad history back to 2018 sits in one place, labelled by industry, so the morning scores have something real to compare against. What the account manager does now is judgment work: reading the flagged accounts, approving or rejecting moves, deciding strategy. The watching is done before the budget is gone. If you are still running daily logins as your safety net, the Monday move is simple: write down what a person actually checks on each visit, and how long after a drift starts it gets caught. Most owners do not like the answer.

Every local SEO client you sign is one more that stops moving the day your SEO lead is out. That is the belief most agency owners run on: local SEO scales by adding SEO people. Each new client means more citations to chase, more posts to write, more ranking checks to hand-hold. So you cap your book at whatever your current team can carry. We broke that in our own agencies by moving the judgment into gates instead of desks. Map rankings are tracked on a grid of up to 81 points per keyword, re-checked every month, so "we moved up" becomes a heat map the client can read. Business Profile posts get drafted on a cadence and checked against a publish gate. Nothing goes live until a person approves it. Every client site is checked for Google AI readiness every two weeks. The system scores whether ChatGPT and Gemini mention the client, so AI-search visibility becomes a number instead of a shrug. Our design target for the SEO manager's approvals is about ten minutes a day. The manager still decides what publishes and what gets fixed. The system just makes sure the work exists, is checked, and is visible before anyone touches it. If you want to build a first version yourself, start here: 1. Pull Google Analytics, Search Console and Business Profile data daily into one place. 2. Track map rankings on a grid per keyword so movement is a picture, not a claim. 3. Draft Business Profile posts on a schedule, with a publish gate a person controls. 4. Give each client a portal with their rankings and a work log, so proof arrives without a status meeting. We wrote the full guide on building a local article pipeline yourself: api.leadconnectorhq.com/widg…

Every hiring push costs you a week of evenings, and the best candidate in the pile gets the same tired eyes as the worst. Most agency owners believe you have to read every resume yourself or you will miss the good one buried in the pile. I believed it too. What it costs you is a week of nights where judgment gets worse the deeper you go, and the strong applicant in position forty gets skimmed. We built triage instead. Every application for a role gets scored against six to seven weighted criteria, each scored 0 to 10 with a written reason, combined into one 0 to 100 score. An attached resume gets a second screen, blended in at one quarter of the weight. Nobody reads a thing until the stack is ranked. Across three of our own roles, April to September 2026, it scored 134 applications. Twenty-two reached the top recommendation, about one in six. One role drew 54 applications and six came back marked for a close read. The person we hired was the one it ranked first. I still decide who gets interviewed and who gets hired. The system sorts the pile and shows its reasoning. The judgment stays mine, and it happens while I am fresh instead of at 11pm on application number thirty. We have run three agencies this way for more than ten years, on our own books. The pattern is the same everywhere: stop spending owner attention on work a system can rank, and spend it on the decisions only you can make.

The belief that scaling local SEO means hiring another specialist is the most expensive thing an agency owner believes. It sounds responsible. It even sounds like quality control. What it actually does is tie your capacity to headcount, so every new client adds a person's worth of repeatable work: pull the data, write the post, check the ranking, build the report. We run local SEO across three agencies on a system that breaks that belief. It pulls Google Analytics, Search Console and Business Profile data for our clients every day. It drafts Business Profile posts on a cadence. It tracks map rankings on a grid of up to 81 points per keyword, re-checked monthly, so "we moved up" becomes a heat map instead of a claim. None of that touches a client without a person. Nothing posts until someone approves it. Citation fixes are staged for approval before anything is submitted. The design target for our SEO lead's approvals is about ten minutes a day. So the lead's job changed. Not from specialist to bystander, but from doing the collection to checking the evidence. The system brings the facts, the gate brings the judgment. Clients see it too. Every client gets a white-label portal with their rankings, a work log, and a heat map per tracked keyword. Delivery stops being a monthly surprise and becomes something they can open any day. More than ten years running our own agencies taught us this: capacity you buy with headcount leaves with the headcount. Capacity you build into a system stays. The Monday version of this: list every local SEO task your team repeats weekly, and ask which ones need judgment versus which ones just need collecting. The second list is a system waiting to be built.

In May 2026 we pulled 1,113 ads from 209 advertisers in under an hour and read them in one sitting before writing a line. That session broke a belief I had held for years: that creative strategy starts in a brainstorm. It does not. It starts with what the market has already paid to keep alive. Here is the checklist we run before anyone writes a single line of creative. Built from our own workflow, using only Meta's public Ad Library, no private data, no client ad accounts. 1. Pull every ad in the market, one sitting, one place. Do not sample. Sampled markets produce sampled strategy. 2. Keep each ad's run duration next to the ad itself. An ad that has run a long time is the only public sign something is holding up. It is a sign, not proof it profits. 3. Transcribe the spoken hooks word for word. We transcribed 117 spoken hooks from competitors' video ads. Read them in a block and the repeated angles jump out. 4. Put repeated hooks beside the longest-running ads. One column shows what is crowded. The gaps sit in the space between the two. 5. Group advertisers by landing page. One business often hides behind several look-alike pages, and the market is smaller than it looked. 6. Decide as a person. Which patterns to borrow, which gaps to test, and what the offer should be stay with you. The read informs the call. It does not make it. Our latest read across the two trades our own agencies serve collected 2,823 ads from 815 advertiser pages, May to August 2026. Creative research for our own campaigns starts there now, not in a meeting room. We have owned three agencies for more than ten years, on our own books. The systems we build are the ones that run them.

Every day the owner's account goes quiet is a day the agency's cheapest sales channel takes off. Most owners believe consistent posting takes hours a day. We believed it too. By hand it took us about two hours a day: pick a topic, write, second-guess, post, check, reply. Then we built the loop below and cut the daily work to about 20 minutes a day (est.). The checklist we run: 1. Draft from a memory of what landed. The console writes with a record of every prior post and how it did, so you start from evidence. 2. Score before posting. Every draft gets scored before it goes out. Weak drafts get rewritten or dropped before they ever hit the feed. 3. Measure at 24 hours. Every post is checked at the same mark, so comparisons are fair and the memory stays honest. 4. Keep what worked. Winners feed back into the drafting memory. Losers get forgotten on purpose. 5. Review, don't write. The owner's job shifts from drafting to a short daily review. On approval: it is default on this loop. The account behind these numbers has automatic posting switched on, but that was a choice, and it can be switched off. The result on one account we run: 36 followers to 819 in eight weeks, February to April 2025. Over 1 million impressions in the last 90 days, at about four posts a day. One honest caveat: growth depends on volume and consistency. This will not grow an account that posts twice a month. We run three agencies and have for more than ten years. This loop runs in our own operations, and Heaviside AI builds the same kind of system inside agencies this size.

Everyone building autonomous agents has it backwards. The value is in the agents that wait. I know that reads like heresy right now. The whole feed is people racing to remove the human from the loop. We run three agencies on the opposite design and it holds. Scheduled agents watch our companies all day, on three machines. Every half hour one checks that our sites, checkout and booking links still work. Every 30 minutes another checks every server and background queue, retrying what it may. Nightly it confirms the database backups reached off-site storage and the restore drill passed. Here is the part that matters. Anything that contacts a client, spends money or merges code waits for a person. Anything touching logins or data gets explicit approval. Agents draft, monitor, flag and propose. A person decides. Each agent has a schedule, a budget and a short list of what it may do. A capability check runs before every job starts. If it fails or cannot be measured, the jobs refuse to start and an alert goes out on a separate path. It watches itself hourly and messages me only when a fix failed, the impact is real or approval is needed. We also learned to cut. In June 2026 we took the main scheduler from 74 jobs to 27 in one pass. 22 of the jobs we cut were reports nobody read. Watching everything is not the goal. Watching what changes a decision is. An autonomous agent that emails a client badly costs you the client. A scheduled agent that flags drift and hands a person the fix costs you thirty seconds. Drift across accounts is the real risk in an agency, and drift is a monitoring problem, not an autonomy problem. The agents that wait are the ones that scale. Heaviside AI builds this kind of waiting system for agencies this size.

The conversation changes the moment the rep knows the prospect's market better than the prospect expects. That's the quiet argument for building research before the call instead of during it. When the deck already holds the market's rankings, reviews and competitor ads, the rep stops presenting and starts diagnosing. The prospect answers questions they hadn't thought to ask themselves. We've run 496 businesses through that research, and no rep built any of it. One prospect called it the best sales presentation they'd seen. The rep's whole job was knowing what to do with it.

The reps still believe the deck has to be built by hand. Ours stopped building them and the calls got better. We run three agencies. For years the pitch ritual was the same everywhere: rep gets a meeting, spends an evening pulling rankings and competitor ads, pastes screenshots into a template, second-guesses the fonts. That belief costs you every week it holds. While your rep is formatting slides, they are on the phone with nobody. So we built the research to happen before the call. Enter a business and a market. Specialized workers run in parallel on search rankings, map visibility, reviews, citation accuracy, AI-search visibility and competitor ads, then hand the rep a branded presentation. 496 businesses researched before the sales call since December 2024, and no rep built the research. The lead record is created at the first request and updated with the finished report, so nothing gets re-keyed. A prospect told one of our reps it was the best sales presentation they had seen. The rep reviewed it first, then walked in knowing what was in it. That is the whole division of labor. The system maps the market. The rep reads it, judges it and turns the conversation into a client. We count booked conversations separately from report requests, because a request is a request. If your reps are still building decks at night, the deck is the easiest repeatable work in your agency to move onto a system first. Heaviside AI builds exactly this kind of pre-call research build for agencies this size, and we start with where your reps' hours actually go.

The belief we keep hearing: daily posting costs hours of writing every day. Most agency owners protect those hours by simply not posting. We refined our daily content review loop this week, so here is where it stands. By hand, one account took us about two hours a day. Pick a topic, write, second-guess, post, check, reply. With the system the daily review is about 20 minutes a day (est.). How it works now: every draft is scored before it goes out, and every post is measured at 24 hours so comparisons are fair. The system drafts with a memory of what already landed, so we iterate on winners instead of starting from a blank page each morning. One account we run on this loop drew over 1 million impressions in the 90 days to 25 September 2026, at about four posts a day. It went from 36 followers to 819 in eight weeks. Growth comes from volume and consistency, and the loop keeps both honest. The voice stays ours. A person reads every draft, rewrites the lines that sound wrong, and decides what ships. Approval before posting is the default. Daily posting was never a writing problem. It was a review problem, and reviews can be compressed. Heaviside AI builds this kind of posting and review system for agencies this size.