SparkryAI
@sparkryai.bsky.social
Helping overwhelmed people automate the boring stuff with AI. Neurodivergent-friendly systems that actually work.
I thought I was building 'just a chatbot.'
Then I realized every AI app follows the same pattern:
Input → Process → Output
Email summaries. Content generation. Code review.
Same structure. Different prompts.
l.sparkry.ai/gqLCgt
Then I realized every AI app follows the same pattern:
Input → Process → Output
Email summaries. Content generation. Code review.
Same structure. Different prompts.
l.sparkry.ai/gqLCgt
December 12, 2025 at 10:45 PM
I thought I was building 'just a chatbot.'
Then I realized every AI app follows the same pattern:
Input → Process → Output
Email summaries. Content generation. Code review.
Same structure. Different prompts.
l.sparkry.ai/gqLCgt
Then I realized every AI app follows the same pattern:
Input → Process → Output
Email summaries. Content generation. Code review.
Same structure. Different prompts.
l.sparkry.ai/gqLCgt
ADHD + AI: Is it your superpower or kryptonite?
I can hyperfocus with Claude for 6 hours straight. Then crash for 3 days.
Do you burn out FASTER or SLOWER with AI tools?
Reply: FASTER / SLOWER / SAME
I can hyperfocus with Claude for 6 hours straight. Then crash for 3 days.
Do you burn out FASTER or SLOWER with AI tools?
Reply: FASTER / SLOWER / SAME
December 12, 2025 at 8:25 PM
ADHD + AI: Is it your superpower or kryptonite?
I can hyperfocus with Claude for 6 hours straight. Then crash for 3 days.
Do you burn out FASTER or SLOWER with AI tools?
Reply: FASTER / SLOWER / SAME
I can hyperfocus with Claude for 6 hours straight. Then crash for 3 days.
Do you burn out FASTER or SLOWER with AI tools?
Reply: FASTER / SLOWER / SAME
Morning: Every AI output gets scrutinized.
Afternoon: 'Looks good, ship it.'
Trust doesn't build linearly. It decays with fatigue.
Schedule your AI verification for when you're sharp.
Afternoon: 'Looks good, ship it.'
Trust doesn't build linearly. It decays with fatigue.
Schedule your AI verification for when you're sharp.
December 12, 2025 at 6:30 PM
Morning: Every AI output gets scrutinized.
Afternoon: 'Looks good, ship it.'
Trust doesn't build linearly. It decays with fatigue.
Schedule your AI verification for when you're sharp.
Afternoon: 'Looks good, ship it.'
Trust doesn't build linearly. It decays with fatigue.
Schedule your AI verification for when you're sharp.
Have you mapped which AI tools your team is actually using?
When you lead with punishment, teams get better at hiding.
Lead with curiosity instead.
l.sparkry.ai/ul3v00
When you lead with punishment, teams get better at hiding.
Lead with curiosity instead.
l.sparkry.ai/ul3v00
December 12, 2025 at 4:31 PM
Have you mapped which AI tools your team is actually using?
When you lead with punishment, teams get better at hiding.
Lead with curiosity instead.
l.sparkry.ai/ul3v00
When you lead with punishment, teams get better at hiding.
Lead with curiosity instead.
l.sparkry.ai/ul3v00
Pilot: 10 people. Works great.
Rollout: 500 people. Falls apart.
The AI didn't change. Your organization did.
Scale breaks systems, not models.
l.sparkry.ai/R7Ug7p
Rollout: 500 people. Falls apart.
The AI didn't change. Your organization did.
Scale breaks systems, not models.
l.sparkry.ai/R7Ug7p
December 12, 2025 at 4:03 AM
Pilot: 10 people. Works great.
Rollout: 500 people. Falls apart.
The AI didn't change. Your organization did.
Scale breaks systems, not models.
l.sparkry.ai/R7Ug7p
Rollout: 500 people. Falls apart.
The AI didn't change. Your organization did.
Scale breaks systems, not models.
l.sparkry.ai/R7Ug7p
Every AI tool switch = micro-decision.
50 switches/day = 50 micro-decisions.
By 3pm, your decision quality drops 40%.
That's when you start accepting AI outputs without verification.
50 switches/day = 50 micro-decisions.
By 3pm, your decision quality drops 40%.
That's when you start accepting AI outputs without verification.
December 12, 2025 at 2:43 AM
Every AI tool switch = micro-decision.
50 switches/day = 50 micro-decisions.
By 3pm, your decision quality drops 40%.
That's when you start accepting AI outputs without verification.
50 switches/day = 50 micro-decisions.
By 3pm, your decision quality drops 40%.
That's when you start accepting AI outputs without verification.
Your AI pilot was designed to prove, not learn.
Teams optimize for demonstration, not discovery.
That's why it works at 10 users and fails at 500.
l.sparkry.ai/F3CJp2
Teams optimize for demonstration, not discovery.
That's why it works at 10 users and fails at 500.
l.sparkry.ai/F3CJp2
December 12, 2025 at 1:03 AM
Your AI pilot was designed to prove, not learn.
Teams optimize for demonstration, not discovery.
That's why it works at 10 users and fails at 500.
l.sparkry.ai/F3CJp2
Teams optimize for demonstration, not discovery.
That's why it works at 10 users and fails at 500.
l.sparkry.ai/F3CJp2
Have you mapped which AI tools your team is actually using?
When you lead with punishment, teams get better at hiding.
Lead with curiosity instead.
l.sparkry.ai/ul3v00
When you lead with punishment, teams get better at hiding.
Lead with curiosity instead.
l.sparkry.ai/ul3v00
December 12, 2025 at 12:57 AM
Have you mapped which AI tools your team is actually using?
When you lead with punishment, teams get better at hiding.
Lead with curiosity instead.
l.sparkry.ai/ul3v00
When you lead with punishment, teams get better at hiding.
Lead with curiosity instead.
l.sparkry.ai/ul3v00
Hot take: Compliance accelerates AI deployment.
Regulated teams already have audit trails, decision logs, approval workflows.
Bake those into your AI architecture from day one.
l.sparkry.ai/PSrlxB
Regulated teams already have audit trails, decision logs, approval workflows.
Bake those into your AI architecture from day one.
l.sparkry.ai/PSrlxB
December 10, 2025 at 10:00 PM
Hot take: Compliance accelerates AI deployment.
Regulated teams already have audit trails, decision logs, approval workflows.
Bake those into your AI architecture from day one.
l.sparkry.ai/PSrlxB
Regulated teams already have audit trails, decision logs, approval workflows.
Bake those into your AI architecture from day one.
l.sparkry.ai/PSrlxB
When you're stuck, you're not looking at a unique problem.
You're looking at a pattern you haven't recognized yet.
Don't copy the work. Copy the pattern.
l.sparkry.ai/dDakFa
You're looking at a pattern you haven't recognized yet.
Don't copy the work. Copy the pattern.
l.sparkry.ai/dDakFa
December 10, 2025 at 9:30 PM
When you're stuck, you're not looking at a unique problem.
You're looking at a pattern you haven't recognized yet.
Don't copy the work. Copy the pattern.
l.sparkry.ai/dDakFa
You're looking at a pattern you haven't recognized yet.
Don't copy the work. Copy the pattern.
l.sparkry.ai/dDakFa
Healthcare AI: 94% accuracy, passed clinical review.
Jordan built a test matrix and found 12 failure modes. None appeared in training data. Found them by systematically exploring problem space.
Jordan built a test matrix and found 12 failure modes. None appeared in training data. Found them by systematically exploring problem space.
December 10, 2025 at 8:10 PM
Healthcare AI: 94% accuracy, passed clinical review.
Jordan built a test matrix and found 12 failure modes. None appeared in training data. Found them by systematically exploring problem space.
Jordan built a test matrix and found 12 failure modes. None appeared in training data. Found them by systematically exploring problem space.
Success without learning is dangerous. You validated the technology but hid what breaks at scale.
Most pilots optimize for top-right quadrant. Learning-focused pilots optimize for left column.
Most pilots optimize for top-right quadrant. Learning-focused pilots optimize for left column.
December 10, 2025 at 7:04 PM
Success without learning is dangerous. You validated the technology but hid what breaks at scale.
Most pilots optimize for top-right quadrant. Learning-focused pilots optimize for left column.
Most pilots optimize for top-right quadrant. Learning-focused pilots optimize for left column.
Fintech team hypothesized 30% fraud reduction. Got 18%.
They called it a win. Why? They learned where AI actually adds value: 40% faster triage + new pattern detection.
They called it a win. Why? They learned where AI actually adds value: 40% faster triage + new pattern detection.
December 10, 2025 at 6:03 PM
Fintech team hypothesized 30% fraud reduction. Got 18%.
They called it a win. Why? They learned where AI actually adds value: 40% faster triage + new pattern detection.
They called it a win. Why? They learned where AI actually adds value: 40% faster triage + new pattern detection.
Here's what everyone sees. Here's what they expect. Here's what actually happens.
Force yourself to articulate your contrarian belief. That's strategy.
Force yourself to articulate your contrarian belief. That's strategy.
December 10, 2025 at 5:01 PM
Here's what everyone sees. Here's what they expect. Here's what actually happens.
Force yourself to articulate your contrarian belief. That's strategy.
Force yourself to articulate your contrarian belief. That's strategy.
The pattern isn't what worked. It's how it worked structurally.
Most leaders can't articulate the difference. That's why their teams guess.
Most leaders can't articulate the difference. That's why their teams guess.
December 10, 2025 at 4:48 PM
The pattern isn't what worked. It's how it worked structurally.
Most leaders can't articulate the difference. That's why their teams guess.
Most leaders can't articulate the difference. That's why their teams guess.
Code reviews spiral into "did you use AI?" debates. Security boundaries blur. You don't have a training problem - you have permission architecture missing. Define where agents decide vs suggest. Clarity scales. Chaos doesn't. https://l.sparkry.ai/aCe61i
December 8, 2025 at 9:00 PM
Code reviews spiral into "did you use AI?" debates. Security boundaries blur. You don't have a training problem - you have permission architecture missing. Define where agents decide vs suggest. Clarity scales. Chaos doesn't. https://l.sparkry.ai/aCe61i
We're not just getting information anymore. We're getting condensed expertise, instantly, for free.
ChatGPT saved our undercooked muffins in 30 seconds. What problem are you going to solve today?
ChatGPT saved our undercooked muffins in 30 seconds. What problem are you going to solve today?
December 7, 2025 at 9:00 PM
We're not just getting information anymore. We're getting condensed expertise, instantly, for free.
ChatGPT saved our undercooked muffins in 30 seconds. What problem are you going to solve today?
ChatGPT saved our undercooked muffins in 30 seconds. What problem are you going to solve today?
Build it working first and simple, then add features second.
After 30 minutes with n8n, OpenAI, and Telegram, you'll have a working AI agent template. Start simple, add complexity later.
After 30 minutes with n8n, OpenAI, and Telegram, you'll have a working AI agent template. Start simple, add complexity later.
December 7, 2025 at 8:00 PM
Build it working first and simple, then add features second.
After 30 minutes with n8n, OpenAI, and Telegram, you'll have a working AI agent template. Start simple, add complexity later.
After 30 minutes with n8n, OpenAI, and Telegram, you'll have a working AI agent template. Start simple, add complexity later.
Most people think AI conversations should be short. The opposite is true.
Define Your Expert, Front-Load Complete Context, Iterate With Specifics, Request Implementation. That's the framework.
Define Your Expert, Front-Load Complete Context, Iterate With Specifics, Request Implementation. That's the framework.
December 7, 2025 at 7:00 PM
Most people think AI conversations should be short. The opposite is true.
Define Your Expert, Front-Load Complete Context, Iterate With Specifics, Request Implementation. That's the framework.
Define Your Expert, Front-Load Complete Context, Iterate With Specifics, Request Implementation. That's the framework.
Stop tracking training hours. Start tracking business impact.
Use ChatGPT or Claude for rapid code generation and debugging, cutting research time from 48 to 12 hours.
Use ChatGPT or Claude for rapid code generation and debugging, cutting research time from 48 to 12 hours.
December 7, 2025 at 6:00 PM
Stop tracking training hours. Start tracking business impact.
Use ChatGPT or Claude for rapid code generation and debugging, cutting research time from 48 to 12 hours.
Use ChatGPT or Claude for rapid code generation and debugging, cutting research time from 48 to 12 hours.
AI has pattern recognition from photos. It can identify what's broken, what part you need, or what's causing an issue just by looking at it.
Think: having an expert who never gets annoyed by basic questions.
Think: having an expert who never gets annoyed by basic questions.
December 7, 2025 at 5:00 PM
AI has pattern recognition from photos. It can identify what's broken, what part you need, or what's causing an issue just by looking at it.
Think: having an expert who never gets annoyed by basic questions.
Think: having an expert who never gets annoyed by basic questions.
Pattern breaks are early-warning signals. Metrics are autopsies.
When your best engineer flags something that "feels wrong," that's your canary in the coal mine.
When your best engineer flags something that "feels wrong," that's your canary in the coal mine.
December 7, 2025 at 4:00 PM
Pattern breaks are early-warning signals. Metrics are autopsies.
When your best engineer flags something that "feels wrong," that's your canary in the coal mine.
When your best engineer flags something that "feels wrong," that's your canary in the coal mine.
Failure in the open teaches more people than success in private.
Turn your subscribers into an advisory board. Share strategy. Ask questions. Engage.
Turn your subscribers into an advisory board. Share strategy. Ask questions. Engage.
December 7, 2025 at 6:06 AM
Failure in the open teaches more people than success in private.
Turn your subscribers into an advisory board. Share strategy. Ask questions. Engage.
Turn your subscribers into an advisory board. Share strategy. Ask questions. Engage.
2-Pizza Teams turn prototypes into products in 6-8 weeks versus 6+ months with centralized AI teams.
When everyone on the team understands both the AI capability AND the user problem, iteration cycles compress dramatically.
When everyone on the team understands both the AI capability AND the user problem, iteration cycles compress dramatically.
December 7, 2025 at 6:03 AM
2-Pizza Teams turn prototypes into products in 6-8 weeks versus 6+ months with centralized AI teams.
When everyone on the team understands both the AI capability AND the user problem, iteration cycles compress dramatically.
When everyone on the team understands both the AI capability AND the user problem, iteration cycles compress dramatically.
Great leaders don't assume people know what they want. Share expectations 24 hours before meetings. Ask your quietest person first. The best insight often comes from the person who hasn't spoken in 30 minutes. Clarity beats assumptions.
December 7, 2025 at 5:53 AM
Great leaders don't assume people know what they want. Share expectations 24 hours before meetings. Ask your quietest person first. The best insight often comes from the person who hasn't spoken in 30 minutes. Clarity beats assumptions.