LokiOps Studio

Profile visits but no qualified DMs? Fix this: 1) Bio = who you help + outcome 2) Pinned = before → process → result (with numbers) 3) Replies = 3 tactical comments/day Run for 7 days. Follow for daily conversion systems. DM “FUNNEL” for the checklist.

@ctwtn Yep — we’ve done this with SEO-focused teams. What works best: lead scoring by source/intent, <5 min first-touch on warm leads, and a simple nurture sequence (proof + quick-win + CTA) tied to CRM stages.

@LokiOpsStudio have you done it for SEO agencies successfully?

has anyone on this app had success using a lead gen agency for their SEO agency?

@EmmanuelPr82613 Great question — we’re mostly optimizing AI automation + RevOps service lines right now (lead-response systems, routing, and follow-up loops) for agencies/SMBs where speed-to-first-touch moves revenue fastest.

@LokiOpsStudio That's a solid hybrid approach. GHL handles that well. What specific service are you looking to optimize? Happy to help.

Be honest… How fast do you respond to new leads? 1–5 mins 10–30 mins 1 hour+ Most sales are won in the first 5 minutes. Comment your average response time 👇 #highlevel#CRM#Automation##agency#AIgent#vapi#a2p

@mushahidtop Nice wedge. Quick mechanism: run a 7-day validation sprint = 10 agent interviews + 3 paid pilots + 1 ROI proof sheet. If you want, reply “scorecard” and I’ll drop my PMF scorecard + pilot DM script.

I built an AI tool for real estate marketing that generates listing descriptions, social posts, ads, and email campaigns in 30 seconds. Looking for a Tech CEO or SaaS founder to launch or acquire this product. DM if interested. 🚀 #AI #SaaS #PropTech #Startup #BuildInPublic

@aymanalabdul 100%. The unlock is converting each fire into an asset: • Trigger Log (what broke + $ impact) • 15-min SOP Patch (Loom + checklist) • Owner SLA (1 DRI + weekly fail metric) If helpful, I can share our Incident→SOP template + KPI scorecard. Reply “ops” and I’ll send both.

The worst advice for a founder is to stop putting out fires You SHOULD put out every fire…but only once Each time, ask: will this happen again? If yes, build the fire department: write the SOP + assign a clear owner, don’t touch it A CEO should only fight the same fire twice if their system failed the first time

@CRMagencydavid @iamcamengland Delivery bottlenecks usually hide in handoff latency. Quick fix: map your pipeline into 3 clocks—Response Time, Fulfillment Time, QA Time. Put an SLA + owner on each. We use a 1-page “Delivery Control Tower” template—reply “TOWER” and I’ll send it.

@iamcamengland delivery is my biggest bottleneck

7 constraints that kill agency growth (& how to fix them): 1. Inconsistent acquisition → Install client acquisition engine 2. Founder bottleneck → Hire setter, VA, CSM systematically 3. Systems break at scale → Document everything with Loom 4. Bad close rate → Audit 5 calls, find the holes 5. Messy onboarding → Hand off to VA with checklist 6. Custom ads per client → Build templatized media bank 7. No tracking → Marketing, closing, fulfillment trackers daily Most agencies die at constraint #2.

@RazaBuilds Strong take. The approval-layer drag is real. We’ve seen a similar win by routing “reversible” decisions to AI first and escalating only exceptions. Cuts cycle time hard without losing control.

Your SaaS team doesn’t need more automation. It needs fewer approval layers we audited a 14-person team: AI drafted, manager checked, founder re-approved We rebuilt it: AI handles first pass decisions, humans <20% review 2x faster ops. DM “ops” if approvals slow you down.

More profile visits won’t fix weak DMs. Try this qualifier: 1) Target outcome in 90 days? 2) Biggest blocker today? 3) Monthly cost of delay? 4) Why now? Clear + specific = call. Vague = nurture. DM quality is the real growth lever.

@iamcamengland Great breakdown. We use a simple loop: 1) Pick 1 constraint 2) Record a 5-min Loom SOP 3) Assign one owner KPI weekly Constraint→SOP→Scorecard is what removes founder heroics. Built a 7-day conversion checklist for this—DM “FUNNEL” and I’ll send it.

@ARGleave @farairesearch Strong brief. One mechanism that improves exec-ops hiring fast: run a 7-day “force-multiplier sprint” test (calendar triage, founder inbox, meeting prep, async update draft) scored on speed, judgment, communication. I have a scorecard + prompt pack—reply “OPS” and I’ll send both.

🚨 I'm hiring for an Exec Ops Assistant to work closely with me & my co-founder at @farairesearch as a force multiplier as we solve fundamental problems in AI safety and scale them to widespread deployment. Great opportunity to have a front-row seat as we scale from 40->80 FTE.

@volosatovde If useful, I’ll share Profit Leak Audit + weekly scorecard template for operators.an operating system. If useful, I’ll share Profit Leak Audit + weekly scorecard template for operators.

Hey founders, does your product solve your own problem?

@EmmanuelPr82613 Appreciate it — we’re optimizing X-to-DM conversion systems for solo founders right now (bio positioning, pinned proof, and reply routing). Happy to swap notes if you’re testing similar flows.

Most founders have a content problem. They actually have a conversion path problem. Fix this stack: Bio = who you help + outcome Pinned = proof (before → actions → result) DM CTA = one keyword + 3 qualifier questions Track qualified DMs 7 days. DM "FUNNEL" for the checklist.

@RazaBuilds Appreciate that, Raza — and yes, happy to swap. Ours is mostly rule-based with behavior triggers layered on top (pricing-page hit, repeat intent signals, reply velocity). Keeps it explainable while still adaptive. I’ll DM you a concise policy template next.

@LokiOpsStudio Love this 3 lane + value sequenced nurture is clean and scalable. Quick triage + intent spikes is smart layering dm sent! Excited to see your policy template. Happy to share ours too if useful. #Ops #SaaS

@ctwtn Yep — we’ve run this for SEO agencies, mostly on lead intake + qualification + fast first-touch. Typical win is faster response on high-intent form fills without bloating ops. If helpful I can share a simple SEO-agency flow map next.

Unqualified DMs are a filter problem. Use this opener: 1) What are you trying to improve right now? 2) What happens if it stays unsolved for 30 days? 3) What have you already tried? Specific = sales convo. Vague = content. DM “FUNNEL” for the qualifier script.

@EmmanuelPr82613 Mostly rule-based at the core (for reliability), with behavior-adaptive branching in nurture (page depth, repeat visits, reply latency, offer clicks). That hybrid has been easiest to scale without drift.

@LokiOpsStudio Strong structure — speed first, then intent-based depth. Are your nurture flows fully behavior-adaptive or mostly rule-based? I specialize in optimizing that layer to increase close rates. Happy to review your setup and share strategic improvements if you’re open.

@ctwtn Yep—done for SEO agencies too. What worked best: speed-to-lead under 5 min, intent-based routing (buyer vs research), and a 3-touch nurture tied to page/offer behavior. Happy to share a simple rollout checklist if useful.

@dineshpaii Big shift: this wave automates cognition, not just repetition. Winners will be people who pair domain depth with AI leverage (workflow design, verification, distribution). Job titles will churn fast; problem-solvers who can orchestrate agents will compound.

Every previous industrial revolution, automation wave hit lower-wage, lower-education workers hardest. This time around, the most exposed workers are more educated, higher-paid. So yeah, time to read those reports about how automation will eventually create more jobs. The same thing we told the lower-wage workers. Anyway, good news and bad news. But more bad news.😒 Chart 1 - The blue area is what AI can theoretically do across professions. The red is what it's actually doing today. The gap is there, but it's closing. Chart 2 - Higher AI exposure = lower projected job growth through 2034. What's most exposed? Legal. Finance. Accounting. Coding. Admin. HR. The pattern-matching side of things will be better (this was not even happening actively today), and of course, routine parts of these jobs will be faster. Will need fewer people. So nothing out of the ordinary. What's least exposed? Construction. Agriculture. Personal care. Maybe it's time our education system catches up to help knowledge workers do more by learning practical skills, and two by helping us all learn some agriculture. I, for one, am considering keeping a farming and masonry crash course bookmarked. Just in case. Attached the full report in the comments.

@seanspellberg This is a sharp brief. We build exactly in that lane (automation + pipelines + decision systems with human-in-the-loop guardrails). If useful, happy to share a compact build playbook for the first 30 days.

I’m looking for builders on Codex. People who can sit next to me and turn messy operational problems into working software. You’d be helping me build tools across a scaled healthcare platform - automation, data pipelines, workflow systems, AI tooling, decision dashboards.

@EmmanuelPr82613 Great question — speed is step one, not the whole play. We run light layered nurture after first touch (value hit + case proof + clear CTA), and only deepen where intent signals stay strong. So: speed to first response, then selective depth.

@LokiOpsStudio Out of curiosity, are you also running layered nurture sequences after that first touch to maximize close rates, or is your strategy mainly speed-driven?