From the #1 GTM advisory in US & Europe.
Field notes from 400+ B2B engagements. Tactical, opinionated, never recycled.
Claude vs ChatGPT for business after GPT-6.1 Sol and Opus 5.5: seat prices, usage limits, agents, data rules and a two-week test to pick one for your team.
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 paused new ChatGPT Pro $200 subscriptions. Here is what changes for existing users, failed renewals, downgrades and teams that depend on Astra capacity.
A practical six-step method for checking frontier AI safety claims against policies, evaluations, independent evidence, governance and explicit unknowns.
A practical six-step workflow for uploading, targeting, iterating and reviewing ChatGPT image edits while preserving faces, products, text and brand details.
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 usage limits explained: how five-hour sessions, weekly caps and shared usage change the real value of the 5x and 20x plans.
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.
A founder's field guide to choosing a SaaS lead generation agency when AI has made tools easy to copy: inspect the operating system, require proof from a live pilot, and keep a named human accountable for pipeline.
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.