u/danilo_ai

Superhuman: keyboard-first email client that pre-writes follow-up replies based on thread context. Cleared 87 emails in 11 minutes. $30/month, email only.

Lavender: scores your cold emails 0-100 and tells you exactly why they underperform. Rewrote one email from 43 to 88 and got a reply in 4 hours. $29/month, built for sales.

Shortwave: Gmail replacement with smart bundles and a writing assistant that learns your tone from sent emails. $9/month, Gmail only.

Full reviews plus workflow tip and steal-this-prompt in this week's ToolSignal. Free, new issue every Tuesday. Link in bio.

Which email tool have you actually stuck with?

Superhuman: keyboard-first email client that pre-writes follow-up replies based on thread context. Cleared 87 emails in 11 minutes. $30/month, email only.

Lavender: scores your cold emails 0-100 and tells you exactly why they underperform. Rewrote one email from 43 to 88 and got a reply in 4 hours. $29/month, built for sales.

Shortwave: Gmail replacement with smart bundles and a writing assistant that learns your tone from sent emails. $9/month, Gmail only.

Full reviews plus workflow tip and steal-this-prompt in this week's ToolSignal. Free, new issue every Tuesday. Link in bio.

Which email tool have you actually stuck with?

Mem: Note-taking app that skips folders entirely. You dump everything in and AI automatically links related content. Searched "revenue projections" and it found a note where I'd written "estimated income for Q3." No keyword match needed.

Reclaim.ai: Connects to your calendar and auto-schedules focus time around meetings. Three times this week meetings tried to book over my deep work block. Reclaim moved it automatically without me touching anything.

Otter.ai: Joins your calls and transcribes in real time. Searched "pricing objection" across five sales call transcripts. Found every instance with timestamps and speaker labels.

Full reviews plus workflow tip and steal-this-prompt in the newsletter. Free, new issue every Tuesday. Link in bio.

What productivity tools have you actually stuck with?

Mem: Note-taking app that skips folders entirely. You dump everything in and AI automatically links related content. Searched "revenue projections" and it found a note where I'd written "estimated income for Q3." No keyword match needed.

Reclaim.ai: Connects to your calendar and auto-schedules focus time around meetings. Three times this week meetings tried to book over my deep work block. Reclaim moved it automatically without me touching anything.

Otter.ai: Joins your calls and transcribes in real time. Searched "pricing objection" across five sales call transcripts. Found every instance with timestamps and speaker labels.

Full reviews plus workflow tip and steal-this-prompt in the newsletter. Free, new issue every Tuesday. Link in bio.

What productivity tools have you actually stuck with?

Mem: Note-taking app that skips folders entirely. You dump everything in and AI automatically links related content. Searched "revenue projections" and it found a note where I'd written "estimated income for Q3." No keyword match needed.

Reclaim.ai: Connects to your calendar and auto-schedules focus time around meetings. Three times this week meetings tried to book over my deep work block. Reclaim moved it automatically without me touching anything.

Otter.ai: Joins your calls and transcribes in real time. Searched "pricing objection" across five sales call transcripts. Found every instance with timestamps and speaker labels.

Full reviews plus workflow tip and steal-this-prompt in the newsletter. Free, new issue every Tuesday. Link in bio.

What productivity tools have you actually stuck with?

Mistake 1: Perfecting the product before anyone saw it. Distribution is the hard part, not the product.

Mistake 2: Using AI like a search engine. One-line prompts get generic answers. Context and constraints change everything.

Mistake 3: Switching tools constantly. I spent more time testing tools than using them. Depth beats breadth every time.

Mistake 4: No prompt templates. Starting from scratch on every recurring task kills the time savings AI is supposed to give you.

Mistake 5: Trying to automate everything at once. One workflow, done well, compounds faster than five workflows done poorly.

What's the biggest mistake you made early on?

Mistake 1: Using AI like a search engine. One-line questions get generic answers. The more context you give, the better the output.

Mistake 2: Accepting the first draft. The first output is a starting point. The people saving real time are the ones who push back, ask for alternatives, and iterate.

Mistake 3: Switching tools constantly. Most people spend more time testing new AI tools than actually using one well. Pick one, learn it deeply.

Mistake 4: No templates or prompt structure. Starting from scratch every time kills the time savings. A reusable prompt for your most common tasks changes everything.

Mistake 5: Using AI for everything at once. Start with one repetitive task. Do it well. Then expand.

What mistake did you make when you started? Or still making?

Mistake 1: Using AI like a search engine. One-line questions get generic answers. The more context you give, the better the output.

Mistake 2: Accepting the first draft. The first output is a starting point. The people saving real time are the ones who push back, ask for alternatives, and iterate.

Mistake 3: Switching tools constantly. Most people spend more time testing new AI tools than actually using one well. Pick one, learn it deeply.

Mistake 4: No templates or prompt structure. Starting from scratch every time kills the time savings. A reusable prompt for your most common tasks changes everything.

Mistake 5: Using AI for everything at once. Start with one repetitive task. Do it well. Then expand.

What mistake did you make when you started? Or still making?

Descript: edit video by editing text. Cut a 38-minute interview to 12 minutes without a timeline.

Elicit: semantic search across 138M academic papers. Every citation links to a real sentence in a real paper. After months of chatbots hallucinating sources, this felt different.

Hemingway Editor: shows exactly which sentence is the problem. Not vague suggestions, color-coded highlights on the specific words.

Full reviews plus a workflow tip and a steal-this-prompt in the newsletter. Free, link in bio.

What AI tools have you been testing lately?

Descript: edit video by editing text. Cut a 38-minute interview to 12 minutes without a timeline.

Elicit: semantic search across 138M academic papers. Every citation links to a real sentence in a real paper. After months of chatbots hallucinating sources, this felt different.

Hemingway Editor: shows exactly which sentence is the problem. Not vague suggestions, color-coded highlights on the specific words.

Full reviews plus a workflow tip and a steal-this-prompt in the newsletter. Free, link in bio.

What AI tools have you been testing lately?

AI doesn't give bad output because the model is weak. It gives bad output because most people give it nothing to work with.

Type "write me a sales email" and you get something forgettable. Type "write me a sales email for a $9 AI productivity kit aimed at freelancers who are overwhelmed with admin work, casual but professional tone, under 150 words" and you get something usable.

The difference is context. AI fills gaps with averages. The less you give it, the more average the output.

Three things that immediately improve any prompt:

Who you are and what you actually do. Who you are writing for and what they care about. What you do not want as much as what you do.

That is it. No prompt engineering course needed. Just treat it like briefing a smart assistant who knows nothing about your situation yet.

What is the one prompt tweak that made the biggest difference for you?

After talking to dozens of small business owners about how they use AI, the same mistakes keep showing up.

Mistake 1: Using AI like Google Typing one-line questions and getting generic answers. AI gives better output when you give it context, your situation, your constraints, what you've already tried.

Mistake 2: Accepting the first draft The first output is a starting point, not a finished product. The people getting real value push back, ask for alternatives, and iterate.

Mistake 3: Using it for everything at once Trying to automate everything immediately instead of starting with one repetitive task and doing it well.

Mistake 4: No consistent prompt structure Starting from scratch every time instead of building a set of prompts that work and reusing them. This is where most people leave time and quality on the table.

Mistake 5: Thinking the tool is the problem Switching between ChatGPT, Claude, and Gemini looking for the magic one. The tool matters less than knowing what to ask it.

What mistakes have you seen or made yourself?

After three weeks of leaving honest comments on Reddit, a few founders reached out directly.

Here's what landed in my DMs, unsolicited:

VidLaya — turns screen recordings into polished product demos with automatic zoom and blur. Founder answered every technical question I asked in public comments. Genuine.

TruepixAI — takes a raw product photo and a reference ad, reverse-engineers the composition and lighting, outputs studio-quality creative. Several people mentioned it independently.

CloserLab — sales call roleplay practice for teams. Spots gaps in objections, clarity, and closing. Founder offered pro access to test it.

Tagshop AI — converts product URLs directly into AI avatar videos for e-commerce brands.

Leadline.dev — monitors Reddit in real time for posts matching your niche. Surfaces threads where people are describing the problem you solve.

None of these are paid placements. They reached out because I left honest comments on their posts.

The interesting pattern: the founders who built something real tend to engage with criticism instead of ignoring it. The ones who just wanted a mention disappeared after one message.

What tools have founders pitched you on Reddit that were actually worth paying attention to?

I used to get frustrated that AI output always needed so much editing. Spent more time fixing than if I had just written it myself.

The shift that actually worked: instead of asking AI to write something, I write a rough version first, then ask it to improve mine.

"Here is my rough draft. Tighten it without changing my voice or main point."

The difference is immediate. It preserves what is already working, fixes what is not, and the output sounds like me instead of like generic AI.

Works for emails, proposals, social posts, anything where you have a specific voice or audience.

The second thing that helped: telling it what I do not want. "No bullet points. No corporate language. No filler phrases." Negative constraints do as much work as positive instructions.

What prompting shift actually made a difference for you?

Running ToolSignal, a weekly AI tools newsletter. Every week I test tools on actual tasks, not demos. Here's the honest breakdown after 3 weeks of testing specifically for business use cases.

Actually saved meaningful time:

Fathom for meetings. Joins the call, transcribes, delivers structured action items before you close the tab. Free and unlimited. The one tool I would keep if I had to cut everything else.

Claude with reusable prompts. Not Claude as a one-off tool. Claude with 10 prompts I spent time building for recurring tasks. Meeting notes to client emails. Raw research to structured reports. Newsletter drafts. The system saves hours every week, not the tool alone.

Make.com for connecting tools. Built one automation that moves lead data from a form into a spreadsheet and sends a follow-up email. Runs without anyone touching it. Took 2 hours to build, saves 30 minutes every week indefinitely.

Sounded useful but was not:

AI writing tools that generate from scratch. The editing time ate most of the writing time saved. Claude editing my own rough draft worked better than starting from AI output.

AI social media schedulers. Generated generic content that needed complete rewrites. Faster to write it myself.

The pattern I kept seeing:

AI saves the most time on tasks that are repetitive, clearly defined, and where the output can be verified quickly. It saves the least time on tasks that require original thinking, judgment about quality, or understanding of specific context.

What business task have you actually eliminated with AI, not just sped up?

I cover AI tools for business every Tuesday in ToolSignal. Free newsletter, new issue every Tuesday.

Type question. Get answer. Move on.

Same as Google with extra steps.

The people getting real value from AI are doing something different. They're treating it like a thinking partner, not a lookup tool.

The difference in practice:

Search engine mode: "What are the best productivity tools?" Result: generic list you could find anywhere.

Thinking partner mode: "I run a 5-person remote team, we're losing 3 hours a week to async miscommunication, here's what we've already tried. What am I missing?" Result: something actually useful.

Why this matters:

AI fills gaps with averages. If you give it a vague prompt, it produces the statistical center of all content like yours. Forgettable by design.

The more context, constraints, and perspective you bring, the less it has to guess. And guessing is where generic output comes from.

Three things that actually change output quality:

1. Tell it who you are and what you're trying to achieve, not just what you want it to do
2. Give it your opinion first, then ask it to push back or build on it
3. Tell it what you don't want as much as what you do

The tool isn't the problem. The input is.

What's the most useful way you've found to prompt AI? Curious what actually works for people here.