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LLM Leverage

The context loop course

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LLM Leverage

Train teams to get reliable AI output—not longer prompts.

A 12-module course that gives managers one shared standard for quality, accuracy, and workflow—across ChatGPT, Claude, Cursor, and whatever tool comes next.

Preview the coursePlan a team rollout

Tool access isn’t the same as capability.

Every seat has ChatGPT or Claude. Almost no one has a shared way to use it. The result: everyone reinvents prompts from scratch, quality swings team to team, and nobody catches invented facts until a client does. Prompt-tips training doesn’t fix this—it goes stale the moment the tool’s UI changes.

Built from real workshop pilots with ops, sales, and eng teams.

What your organization gets.

  1. One shared method your whole team uses—no more reinvented prompts
  2. Fewer made-up facts, because everyone checks sources by habit
  3. Practice built for their actual role: ops, sales, engineering, or marketing
  4. Proof it worked: quizzes, checkpoints, and a certificate per person

What changed after one loop run.

About 5 hours self-paced, or four workshop sessions of 90–120 minutes. Same syllabus either way.

  • Sales

    First-call prep notes

    Before: 25 min of re-googling; two invented clinic facts

    After: 12 min with BRIEF/SOURCES; zero invented facts in review

    Pack first. Prompts second.

  • Operations

    Weekly status note

    Before: 45 min; stale tool dump reused twice

    After: 20 min; handoff note + fresh chat each Monday

    Restart beats polishing a polluted desk.

See more before/after stories

Built for class and self-paced.

About 5 hours self-paced · 4 workshop sessions · 12 modules · sandboxes · templates · glossary · capstone gallery.

Tool-agnostic on purpose—habits transfer when the vendor stack changes.

  1. 01Mental model — How AI helpers think, act, and use space
  2. 02Deep research — Find facts before you start the project
  3. 03System instructions — Wall rules that guide every chat
  4. 04Standing playbooks — Always-on rules vs recipe cards
  5. 05Tools & MCP — Apps the helper is allowed to open
  6. 06Retrieval & grounding — Look things up before you answer
  7. 07Conversation & compaction — Keep the desk clean as the chat grows
  8. 08Memory systems — Sticky notes that help next time
  9. 09Delegation and shared workspaces — Give specialists clear jobs inside a safe team space
  10. 10Human craft — Clear asks, one job, smart approvals
  11. 11Verify & harden — Check work and keep the loop safe
  12. 12Capstone lab — Run one real job through the whole loop

Buy the self-paced course

Lifetime access is $149 USD, paid once. Module 1 and the glossary stay free.

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One map. Every tool.

The context loop connects intent, standing context, the working window, tools, results, memory, and verification—so teams can diagnose quality instead of guessing at prompts.

Rendering diagram…

Desk space

The context window: rules, chat, lookups, and tool results share limited space.

Managers get a common language; employees can finish without a facilitator in the room.

How teams usually run it.

  1. Step 1

    Pilot

    Start with one team and establish the shared context-loop language.

  2. Step 2

    Facilitate

    Run four focused sessions with the workshop decks and linked practice.

  3. Step 3

    Scale

    Expand with role tracks, templates, sandboxes, and certificates.

WorkshopsModulesResources

Talk to us about a rollout.

Tell us your team size, tools, and timeline. We’ll reply with a suggested pilot plan.

Email us about a rollout

Opens your email app to houdini@abra-ca-dabra.app. Your name, company, and note are included in the message.