Daniel Gallagher

I help agency and SaaS teams cut 15+ hrs/week of manual ops with AI and automation solutions | | Book a free systems audit 👇

[Daniel Gallagher @danjgalla]

@NoahKingJr Pen and paper

[Daniel Gallagher @danjgalla]

@ecom_cork Is that not the same person from two different angles?

[Daniel Gallagher @danjgalla]

Do any airports have gyms?

Flight just delayed an hour and would be the perfect way to kill the extra time

[Daniel Gallagher @danjgalla]

If you had to pick one, which moves the needle more on AI output quality: A better prompt, or better contextual data? Where do you land?

[Daniel Gallagher @danjgalla]

@vivoplt True but what's the alternative?

Spend $$$ training your own model on a problem that may not even have customers?

I think it's a good way to validate a solution before overcommitting

[Daniel Gallagher @danjgalla]

@breallstrong The Tier 2 jump is underrated. Most people stay at Tier 1 forever because building context feels like wasted time. What does Tier 2 look like for you in practice: context docs, custom instructions, MCP tools?

[Daniel Gallagher @danjgalla]

@bryandstarck @AnthropicAI What caused the ban?

[Daniel Gallagher @danjgalla]

Zurich has some beautiful run spots

[Daniel Gallagher @danjgalla]

@drewfallon12 How did you know it was a claude output?

[Daniel Gallagher @danjgalla]

Had an audit call with a new client last week. They came in wanting automations.

Looked at their setup and the real issue was underneath: data scattered across tools that don't talk to each other.

It's holding together now because they're small and someone's manually keeping track, but that breaks the moment they grow.

Ended up reshaping the project: a couple of automations for quick wins, but most of the work is fixing the data architecture first. Otherwise we'd just be automating on top of a mess.

[Daniel Gallagher @danjgalla]

@maxwellcopy What're you looking to build?

[Daniel Gallagher @danjgalla]

Before you build any AI solution, restructure the data it's pulling from. Most projects die here.

People point a model at their Notion, Google Drive, and Airtable, get garbage outputs, and blame the model.

What actually works: spend the first week in the data.

Consolidate sources. Kill outdated docs. Add the context the needed to reason well — who does this apply to, what problem does it fix, what area is it relevant to.

Fix the groundwork first.

[Daniel Gallagher @danjgalla]

@eptwts Grok did not do a good job lol

[Daniel Gallagher @danjgalla]

@maxwellcopy How do you picture the manager interacting with them?

One interface that lets them sequence jobs from a single spot, or a dedicated interface per area that goes deep on that domain? (design, strat, etc)

[Daniel Gallagher @danjgalla]

The difference between a useful AI agent and another generic chatbot is what's behind it.

Designing a lead qualification agent for a client right now. We could just give it a script in its system prompt and let it run.

Instead we structured their databases first so it has rich data to pull from, now the agent will be plugged into their live data, documentation, and lead conversation history.

Will help qualify leads 24/7 when they're not online, follow their SOPs, and remember every conversation per lead

[Daniel Gallagher @danjgalla]

@JamesonCamp I see nothing wrong here

[Daniel Gallagher @danjgalla]

@MichaelRathman7 Saucony Ride 15’s

[Daniel Gallagher @danjgalla]

@apollonator3000 Optimise for the minimum number of operations required to get the job done

[Daniel Gallagher @danjgalla]

@levelsio Definitely for flights

AirPods run out of battery way too quick

But they’re great for exercising