GroundPound.aisurfturf.ai

GroundPound.ai is part of the SurfTurf.ai family of services, built and operated by SurfTurf.AI LLC.

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Operator playbook

How to get the most out of your agent team — from first run to a smooth daily rhythm.

GroundPound is built so you don't have to learn "AI agents" as a third career. This playbook is the short version of what works, written for the business owner who has more to do than people to do it.

Week one: start small, watch the handoffs

  • Generate one team from a templatethat matches your work, and let it run on a narrow slice — one inbox, one workflow — before you expand. Watch how the coordinator triages and routes the first few items. That's the design you're buying.
  • Read the drafts, don't rush the sends. Early on, every irreversible action waits for your approval. Use that window to learn the team's voice and correct it, the same way you'd onboard a new hire.
  • Connect your knowledge. Point the team at your SOPs and key documents (upload or connect a Drive/OneDrive/Dropbox/Box folder) so answers are grounded in your material and cite their sources.

Settling into a rhythm: approvals that fit your day

  • Most of an ops day is reading and drafting, not sending — and those don't need approval. The places GroundPound pauses are the moments you wanted to be in the loop anyway.
  • Promote categories to less friction as trust accrues. Once a routine category (say, standard email replies) has earned your confidence, you can move it from every-time approval toward policy-with-veto — the agent acts, you get a digest, and any operator can roll back.
  • Keep the high-stakes categories gated.Moving money, sending signatures, and other catastrophically-irreversible actions are worth the extra click. The platform won't let you set unattended scheduled approval on the most sensitive categories.

Running proactively: let the schedule work for you

  • Put recurring work on a schedule. Agents can run on a cron line — chase invoices Monday morning, send the weekly digest, open follow-up tickets — without being asked.
  • Use the daily and weekly digest("what shipped / what's stalled / what needs your attention") so oversight is a five-minute read, not a constant watch.

Tuning cost and quality

  • Start on Auto and let the router pick the right model per task. After a week of real runs, review the per-agent cost in Atlas → Inspect and adjust.
  • Don't reach for the biggest model by default. The right model is usually the smallest one that does the job well; the spread between the cheapest and most expensive models is large, and most agents don't benefit from a frontier model.
  • Pin a model only when you have a reason — a regulatory requirement, a preferred vendor, or a specific quality bar.

When something looks wrong

  • Ask the in-app support agent first. It reads your actual setup and proposes a specific fix you approve in one click — faster than waiting on a human.
  • Check the run forest and activity timeline in Atlas to see exactly what happened: which agent did what, what it handed off, and where it paused.
  • For anything it can't resolve, email info@groundpound.ai. Real reports get a fast human reply.

Growing the team

  • Add specialists and teams as your needs grow, rather than overloading one agent. The platform routes traffic through coordinators by default, so a bigger operation stays organized.
  • Reuse what works. When one agent finds a pattern that works well, promote it as a shared precedent so the rest of the team picks it up.

This is a public, high-level playbook. The in-app support widget and Settings panels guide the specifics. Start free at groundpound.ai.