Every part of the engine
Step-by-step methods for outbound, LinkedIn, sales calls and AI tools, written by Federico Donatone from the work behind 400+ B2B clients.
AI Frontier, every Wednesday. The week's AI signal and one practical play, plus the free 10-page Operator Pack.

Field notes from 400+ B2B engagements. Tactical, opinionated, never recycled.
Gemini 4 Hydrogen launched November 12 at $1.50 and $7.50 per million tokens with a free API tier. Benchmarks vs Claude Sonnet 5.5, app plans, when to use it.
ChatGPT Business Hub launched November 10: how to claim your business, what Persona verification unlocks, the insights you get and who can build an agent.
Claude Sheets and Whiteboards launched in beta on November 10 and Dashboards is now Claude Data. Which plans get them, what each does and what to move first.
Claude Fable 5.2 costs $8 and $40 per million tokens, 20% below Fable 5.1. Benchmarks vs Opus 5.5, Pro and Max access, the launch offer and who should switch.
AI moratorium explained: the 2026 Democratic bills to pause AI models above 10^25 FLOP, ban superintelligence, stop new AI data centers, and their odds.
How to start a marketing agency in six steps: learn the work, pick one service, form an LLC, price a retainer, sign three clients. The order I followed at 25.
Is Anthropic profitable? Its S-1/A shows a $104B net loss in nine months, an operating line near breakeven and $6.6B of operating cash flow. Line by line.
Sam Altman's IQ was never tested in public. What the viral AI IQ tier list shows, who fired Altman and why, and what Hassabis and Sutskever have on record.
Is SaaS dead? In 2026 software lost its price tag: 2.34x revenue and a Miro deal 90% below 2022. Its customers stayed: non-AI SaaS payments grew 31.5%.
Anthropic market cap explained: $965B at the last round, $1.5T to $2T expected at the IPO, and why that beats 35 SaaS giants on a quarter of their revenue.
Supabase pricing in 2026: Free $0, Pro $25, Team $599 a month. What compute really costs, the connections each size allows, and what the spend cap misses.
The average cold email response rate in 2026 is 3.43%. What counts as good, and what 7,561 of our contacts show by role, company size, length and offer.
Gemini 4 Argon and Carbon cost $2/$10 per million tokens until Nov 30, then $4/$20. Which to use, benchmarks vs Claude Sonnet 5.5 and Opus 5.5, app plans.
GPT-6 Sol vs Astra: GPT-6.1 Sol costs one fifth of Astra and matched it on all 15 runs of one public test. Prices, benchmarks and ChatGPT plans.
Lusha pricing in 2026: Free, Starter $49.90, Pro $69.90, Premium $399.90 a month. What credits buy, what a phone number really costs, and Prospeo compared.
Prospeo pricing in 2026: Free, Starter $49, Growth $99 and Pro $249 per user. What credits buy, what a mobile really costs, and what it costs inside Claude.
Anthropic vs OpenAI revenue in 2026: $16.8B a quarter vs $50B a year, why gross and net accounting change the answer, profit, growth and the IPO date.
HyperFrames vs Remotion: HTML vs React, Apache 2.0 vs a paid license from 4 people, render speed, 2026 prices, and which works better with Claude Code.
Claude effort level guide: Opus 5.5 defaults to medium. What low, medium, high, xhigh and max cost per task, and how to change it in Claude Code.
Smartlead pricing in 2026: Base $39, Pro $94, Unlimited Smart $174 and Prime $379 a month. What each plan includes, the add-ons, and what you really pay.
Fable 5.1 vs Opus 5.5: Opus wins all 9 launch benchmarks at 40% of the price. Where Fable still wins, plan limits, and what the Fable 5.5 leak shows.
Does ChatGPT report to police? Only for credible threats to others. But police asked OpenAI for data 309 times in late 2025. What they can see.
Wispr Flow pricing in 2026: Free, Pro at $15 or $12 a month, Growth and Enterprise, plus real usage data on when the 2,000-word free cap runs out.
Anthropic usage policy update explained: the ban on cruelty toward Claude, the new fake account rules and what sales teams must change by November 12.
There is no pause button for ChatGPT Plus, Pro or Go. Three moves stop or cut the bill and keep your chats, plus the cancel steps and the refund rules.
Guideless review from my own test: a narrated video guide in 5 minutes, one fix after I moved a button, Pro from $39 a month and a 50% code for month one.
Agency Agents is a free GitHub library of 282 AI agents for Claude Code. What is inside, the 9 sales agents, how to install them and the token catch.
Claude Haiku 5.5 pricing: $0.10 input and $0.50 output per million tokens under 100K, $0.50 and $2.50 above. Haiku 4.5 vs 5.5 and real cost examples.
Is ChatGPT safe? What every plan does with your chats, how long OpenAI keeps them, what the October safety firings mean and 7 settings to change today.
MiMo-V2.6-Pro, Qwen3.8 Max, GLM-5.3, Kimi K3 and DeepSeek V4.1 Flash on one independent index: scores, cost per task, licenses, data risks and the job each one fits.
Claude costs $0 to $200 a month: Pro $20, Max $100, Ultra (the old Max 20x) $200, Team $25 a seat or $20 yearly. API rates per model, checked November 9, 2026.
How to build an AI agent with Claude Code instead of buying an agent app: the six parts, a rules file template, costs and the limits I hit running 9 agents.
Claude Code for marketing, explained by a founder with no coding background: the 9 agents that run our GTM, where humans approve, and what to build first.
Claude API pricing per million tokens for Haiku 5.5, Sonnet 5.5, Opus 5.5 and the new Fable 5.2, what a real agent session costs, the hidden fees and 7 ways to cut the bill.
Claude vs ChatGPT for business in 2026: $25 seats on both, new API credits, Dots vs Claude agents, usage limits, data rules and a two-week test to pick one.
A sample cold email to a potential client, plus 6 templates by situation, the swap test we run before every send and the CAN-SPAM rules for B2B.
A catch-all email accepts mail for any address on a domain, so verifiers cannot confirm it. What it means, how to verify it and when to send in cold email.
AI cold calling explained: an AI voice that dials, or a human caller backed by AI. What US law requires, what it costs and the setup we use.
What a cold email agency does, what agencies publish on price, 8 questions to ask before you hire one, and the red flags that can cost you your domains.
Cold email deliverability in 2026: what Gmail, Yahoo and Outlook require, how bad data drives bounces, and a 10-point check to run before every send.
Nobody can name a reliable AGI date. Here is how I compare the 2026 claim, the 2028 research target and the capability evidence that would make a forecast useful.
A practical framework for deciding when frontier AI training or deployment should slow, what evidence should trigger a pause and what must happen before work restarts.
OpenAI canceled the Pro 200 cut on October 29: every $200 plan is back at 20x Plus, and Pro 100 and Pro 500 doubled. The three plans compared.
A practical six-step method for checking frontier AI safety claims against policies, evaluations, independent evidence, governance and explicit unknowns.
How to edit photos in ChatGPT's image editor step by step, 40 copy-paste prompts, limits by plan and the checks that keep faces, products and text intact.
A practical workflow for turning a plain-English ICP into a verified B2B lead list with account filters, decision-maker rules, evidence fields and a quality gate before outreach.
A practical Seedance 2.5 workflow for planning one clear shot, assigning references, directing timing and reviewing the result before spending another generation.
A simple five-question test for checking AGI claims, benchmark scores and human comparisons before you believe the headline or change your AI strategy.
Why engineers make great CEOs when technical judgment improves product decisions, plus the commercial, people and capital tests an engineering background cannot replace.
AI data center power constraints explained: grid queues, site capacity, flexible demand and the evidence behind the claim that electricity can limit AI before chips do.
Claude Max 5x vs 20x after the Ultra rename: Max is 5x Pro per week, Ultra 10x with no five-hour limit. The 50% Fable rule, API credits and a one-week test.
We ran the same 600 leads through 8 lead generation database companies and verified every email. Compare coverage, dead emails, mobile hits and cost.
Apply consistent evidence checks across outreach batches, prevent duplicate actions, track review decisions and measure quality separately from outcomes.
A practical guide on how to automate sales operations after each call: capture the facts, draft the follow-up, update the CRM and route exceptions while people own the relationship.
A practical guide on how to evaluate AI models with representative work, acceptance criteria, review time, latency and cost per usable result.
A practical LLM regression testing workflow for catching silent quality drops across model, prompt, tool and provider changes before they reach customers.
A founder's field guide to building an AI operating system for business: one front door, clearer delegation, explicit boundaries, reliable report-backs, and human control over irreversible work.
A field-tested way to build an AI tool stack for small business: assign one measurable job to each layer, test the handoffs, keep control of the data, and cut anything that adds more review than output.
What a SaaS lead generation agency does, when it is worth it, the four proofs to require before you hire, how pricing works and how to run a 30-day pilot.
A founder's field test for sales tech stack consolidation: map every job, run a representative batch, measure data quality and handoffs, then cut subscriptions without breaking the workflow.
A founder's honest take on demand generation in b2b: why real demand comes from a system of small plays compounded over quarters, the same way the best AI research gets made, and the three places the approach stops working.
A founder's honest take on why your best employees quit: the honesty gap between the grateful LinkedIn goodbye and the real reason people leave, why the exit interview is the worst place to find it, and where reading every exit as a failure goes wrong.
A founder's honest take on whether the AI bubble can survive a price war with China: why a bubble breaks on slowing revenue growth and never on weaker models, what Kimi K3 actually threatens, and where the doom version of the argument falls apart.
Evaluate an outsourced lead generation arrangement through access, campaign evidence, responsibilities and a usable handover before choosing a provider.
A founder's honest take on appointment generation in b2b: why I built the meeting engine in-house before handing it to a specialist, the fit-first rule that kills junk calls, and where the motion stops working.
A founder's honest take on lead generation for saas companies: why the best product rarely wins, the distribution engine that actually compounds, and where the tactics stop working.
Turn founder sales decisions into a usable playbook with evidence, worked examples, ownership and a tested handover.
Study relevant LinkedIn posts against their context and author baseline, record structural hypotheses and turn the research into an original writing brief.
A founder's honest take on how to delegate tasks to ai agents by voice: why the model you talk to is never the one doing the work, the setup that lets you start three jobs at once, and where it still falls apart.
A founder's honest take on how to build an ai gtm stack: why the model is the most replaceable layer, the three layers that actually hold your value, and where keeping it all portable still costs you.
Coordinate concurrent agents with task ownership, dependencies, shared-resource rules, recovery checks and one evidence-based completion report.
Compare AI agents, prompts and workflows with practical examples. Choose the right approach and adapt eight operating rules for reliable business tasks.
A founder's honest take on ai sales prospecting: why the cheapest tool per credit rarely produces the cheapest meeting, the total-cost math I learned testing AI models, and where the automation still needs a human.
A founder's honest take on b2b data enrichment tools: why most teams pay for rows nobody will ever work, the order that makes enrichment worth its cost, and where the spend stops paying for itself.
A founder's honest take on founder led growth: why the ten-year timeline everyone shares hides the boring mechanic that makes it work, and where the compounding quietly breaks.
A founder's honest take on ai prospecting tools: why outbound campaigns starve without anyone noticing, how an agent that tops up its own lead list works inside real client workflows, and where it still needs a human.
A founder's honest take on claude for sales: the new record-a-skill feature that turns one screen recording into a workflow that runs without you, and the two places it still needs a human on the send.
A founder's honest take on sales trigger events: why a new CEO is the highest-intent window you are ignoring, the four-filter search I run to find them, and where timing-based prospecting still breaks.
Compare eight sales and back-office workflows by input readiness, review effort and failure cost, then choose a bounded first implementation.
Design the operational layer for LinkedIn engagement: deduplicate records, route work, review messages and verify outcomes before retrying.
A founder's honest take on the AI sales agent: why most of them are just prompts on a schedule, the four-part loop that makes a few of them actually work, and where the automation still breaks.
Use an evidence brief to draft a relevant email, separate facts from assumptions, improve the ask and reject unsupported personalization.
Plan a LinkedIn lead generation system around your buyer, useful content, qualified conversations and a measurable handoff to sales.
A founder's honest breakdown of the B2B lead generation strategies that still work in 2026, starting from the boring layer everyone skips: verified decision-maker data.
Decide what an AI SDR should research, draft and track, what people must approve, and when a live conversation needs a human owner.
A founder's honest breakdown of how AI for sales actually earns its keep: five research and prep workflows I run before every call, and the two places the automation still falls apart.
A founder-led sales playbook for controlling the call from minute one: three moves I use inside Growth Cab to hold the frame without turning into a scripted closer, and where the approach stops working.
AI made software cheap to copy and features easy to clone. A founder's case for the one advantage that still compounds: a data moat built from what only your team can know.
The models stopped being the bottleneck this year. An honest look at why most teams still get mediocre output from AI agents, and the fix that costs nothing.
Six questions to answer about your own offer before any discovery call, from a founder who lives inside B2B sales conversations every day.
Compare Perplexity and Claude for prospect research, writing and sales workflows. A practical guide to evidence, costs and a repeatable evaluation.
A critical filter most founders overlook in outbound sales.
Personalized email outreach remains essential, even with advanced AI.
Assess company fit, role and the meaning of an interaction. Assign one owner and move to a call only when there is a relevant problem to discuss.
Plan a sustainable LinkedIn publishing cadence, participate in relevant conversations and review reach alongside audience quality without promised impression targets.
How founders escape the busyness trap: find the work that does not need you, delegate whole outcomes and measure the team on output over hours.
A six-step process for closing deals without sounding salesy.
Build and review one LinkedIn post with a specific idea, supporting evidence, a useful opening and an honest next step.