Each week, an article that dismantles a B2B prospecting myth and gives you a system that works. No filler. No jargon.
Formula's own ICP pivot, from freelancers just starting out to established SMBs, and what it means for picking your target before you automate.
Read the article →Why Formula ran its entire first year 100% manual, and the framework to know if you're ready to switch to an agent.
Read the article →What is really automated, what still gets a human swipe, and why removing every human from the loop is a commercial risk, not progress.
Read the article →The real week-by-week timeline before an AI prospecting agent pays for itself, and the three factors that make the biggest difference.
Read the article →One agent per dedicated account, never a shared one. How an agency structures managing several client accounts from Claude, ChatGPT or Gemini.
Read the article →No. What the MCP server actually connects, why the confusion is so common, and how to get started with zero technical integration.
Read the article →The criteria that matter, Formula.'s own ICP pivot (6x conversion), and a consulting agency case that went from $20k to $55k/month.
Read the article →Solo consultant, SMB, agency: the common baseline every profile that succeeds shares, and who should not automate yet.
Read the article →The exact mechanism: persona, intent signals, a manual-vs-AI comparison table, and a real consulting agency case.
Read the article →Definition, the difference from active prospecting, and a real case of a B2B SMB that went from $400k to $600k in monthly revenue.
Read the article →5 signals to check before signing with an agency, the factual comparison between a human agency and an AI agent, and a real case of switching.
Read the article →First replies land in 1 to 2 weeks, first qualified meetings between week 2 and week 4. What speeds up or slows down that timeline, with a real case.
Read the article →The four stages of a pipeline that works, the real volume numbers behind each one, and where most solo consultants and small agencies actually break.
Read the article →Not dead, but generic blasts are. What's actually killing reply rates, what deliverability requires, and why pairing email with LinkedIn changes the math.
Read the article →The agent drafts the reply, you validate it with a swipe. The full mechanism, why speed matters, and what stays under your control.
Read the article →You don't need a sales team to make an AI prospecting agent profitable. The real criterion is your offer and deal size, not your headcount.
Read the article →3 blocks, not one: automatic qualification, real personalization, multichannel outreach. The full mechanism, what usually fails, and a real SMB case study.
Read the article →50-70% of B2B teams abandon their AI SDR tool within a year. Not because AI doesn't work, but because the full-autopilot model is broken.
Read the article →75% of B2B companies prospect blind. The 5 concrete signals that mark a prospect as in-market, why the 24-hour window matters, and how to act on it automatically.
Read the article →70,000 LinkedIn campaigns analyzed: the 1st follow-up can lower your reply rate, the 2nd boosts it by +4%. The exact timing to use, and how the agent applies it for you.
Read the article →From daily targeting to a slot on the calendar: the full 4-step mechanism, what the agent drafts on its own, what you validate with a swipe, and an anonymized B2B SMB case.
Read the article →Automatic targeting, personalization at scale, parallel email follow-up: the mechanism that replaces 1 to 2 hours of manual search with a few minutes of swiping, anonymized case included.
Read the article →Three levers working together, not one: consistent posting, real engagement, and outreach that gets replies. Why content alone rarely converts, and how outreach compounds visibility.
Read the article →Mostly, yes, for the volume work: list building, first-touch messages, reply drafts. What stays human is a validated offer and the final judgment call. The task-by-task breakdown.
Read the article →Five criteria separate a real AI social selling agent from a sending tool with a chatbot bolted on: personalization source, LinkedIn limits, reply handling, channels, and price versus scope.
Read the article →There's no fixed number, but the input is measurable: 840 prospects worked a month, a 30-60% reply rate depending on sector and offer, versus 7-11% market average. The real math, a table by profile, and a case.
Read the article →Generic AI personalization plateaus fast. Real personalization uses 2-3 signals per prospect: a recent post, a mutual connection, a public win. The exact mechanism, what to avoid, and a real result.
Read the article →Yes, but only if the extra volume comes from automation, not longer hours. Where the extra volume actually comes from, what happens to quality when volume doubles, and what a real result looks like.
Read the article →No official number is published, but 28 invitations a day is the practical safe cap. Why the limit exists, what actually triggers restrictions, and what to do if you're already sending more.
Read the article →It isn't either/or. Response rates, real costs, a point-by-point comparison and anonymized cases: what the SDR does better, what the agent does better, and what happens when you run both.
Read the article →From $40 to $5,000 per month: we break down the three market categories, the hidden costs everyone forgets to count, and the point where the agent turns profitable for a consultant or B2B SMB.
Read the article →Your Formula. agent is now steerable by chatting from your favorite LLM. Change targets, read replies, adjust the pitch: a plain-English MCP explainer with concrete use cases.
Read the article →Formula., Clay, Artisan, 11x and AiSDR compared without the marketing gloss: real autonomy, channels, LinkedIn limits, mobile and price. Who wins for which profile.
Read the article →LinkedIn reply rates down 37%, AI Overviews on 48% of queries, 28-message limit now universal. What B2B founders who are growing right now are doing differently.
Read the article →The real business question in 2026 is not how much you bill. It is: does your acquisition run without you? A breakdown of founder dependency.
Read the article →A prospect who waits 24 hours is 21x less likely to sign. Why response speed beats copywriting, and how the agent handles it 24/7.
Read the article →Most B2B consultants have never run this calculation. Between $200 and $500 per meeting in lost time. Here is the real number, and what it changes.
Read the article →An honest comparison of the 3 leading prospecting tools. Real strengths, hidden limits, and why an AI agent changes the game entirely.
Read the article →"AI agent" became the new buzzword. A breakdown of the 4 real steps, with concrete examples, and the real difference vs a Lemlist pumped with GPT.
Read the article →Targeting, messaging, follow-ups: an AI agent can run your entire LinkedIn prospecting. Here is exactly how it works and how to activate it.
Read the article →10.3% on LinkedIn, 5% on email. But 50 to 60% when both channels work the same qualified prospects in parallel. The strategy explained.
Read the article →Manual prospecting has an expiry date. 7 objective data points that prove it and the structural shift that founders who scale have already understood.
Read the article →You don't automate what you haven't validated manually. 5 concrete signals that tell you the timing is right to plug an agent into your business.
Read the article →A junior salesperson costs $60,000+ in year one. An agent: $97 a month, live in 45 minutes. An honest comparison for B2B small businesses.
Read the article →The market calls everything "AI SDR". But between a GPT-boosted automation tool and a true autonomous agent, the difference is massive. A jargon-free breakdown.
Read the article →Ready-to-copy Claude prompts, behind-the-scenes of our Formula. agent, real client cases, tools we actually use. Every week. Zero jargon. Unsubscribe in one click.