Posted 4 single-line, question-led comments on posts in Rahil's space (Indian EdTech architect on the Tuesday-morning friction problem, AI agent infra founder on production system prompts as engineering artifact, soft-skills trainer on the 1800s classroom model AI is actually replacing, PE operator using Claude to run a small B2C tutoring business). All different creators from prior runs.
Author: Iqra Aman (3rd+ connection, EdTech Architect: 'I help schools automate administrative "paperwork" so teachers can actually teach. Concept to Execution')
Post: 'EdTech doesn't fail in pilots. It fails on Tuesday mornings at 8:12 AM. When the teacher is already behind schedule. When 32 tabs are open. When the "easy integration" takes 7 extra clicks.' Pilots look perfect because everyone is watching. Real classrooms care about speed. If a tool needs training, reminders, or motivation to keep open, it's already failing silently. EdTech is no longer a product problem but a friction problem, and friction always wins in classrooms. 38 reactions, 7 comments after, 1 repost. Surfaced via Latest feed.
Theme: EdTech friction, pilot-vs-classroom gap, silent abandonment in real classrooms
Comment posted:
The Tuesday-morning-8:12-AM frame is the sharpest test of EdTech I have seen because pilots can fake everything except a teacher with 32 tabs open, do you find teachers can name the friction directly or does it usually show up as silent abandonment first?
Author: Shashank Agarwal (Following, Founder & CEO @ Noveum AI (AI Agent Observability) & API.Market (10K+ users), Ex-AWS SageMaker Launch Team, built $32M ML systems at Amazon, Forbes Tech Council, 8,361 followers)
Post: 'Why most AI Agents fail? Imagine hiring someone and giving them just a job title. No onboarding. No policies. No scripts.' Argues production system prompts in 2026 are 10k to 100k+ tokens, full policy docs, 10 to 20 example conversations, edge case scripts, escalation procedures, guardrails. Teams that ship treat prompts as engineering artifacts (version control, testing, review). The eight components of a good system prompt: identity, role and scope, tools, product context, compliance, absolute rules, examples, operational instructions. After 6 months prompts become 'graveyards' where every rule is a tombstone for a past complaint. 80% of agent failures trace back to the spec not the model. 1 reaction, 1 comment after. Surfaced via Top feed.
Theme: Production AI agent reliability, system prompt as engineering spec, the graveyard problem
Comment posted:
The graveyard framing is the part that lands hardest because each rule really is a tombstone for a past customer complaint, do you find teams ever prune the prompt or only ever append once it goes into production?
Author: Isshita Debnath (2nd connection, AICI Soft Skills Trainer, Head of HR @ OLL, helps people 5x growth with Soft Skills + 1:1 Interview Prep + ATS Resume)
Post: 'AI isn't replacing teachers. It's replacing the outdated belief that one teacher can personalize learning for 40+ students at once.' Traditional classrooms are built on an 1800s model: one teacher, multiple students, same lesson, same pace. Every student learns differently. Some need 10 practice problems, others need 50. Teachers are drowning. AI is a support system, not a replacement: creates personalized practice problems, adapts to each student, gives teachers time back. The panic about AI replacing teachers misses the point. 46 reactions, 7 comments after, 1 repost.
Theme: Reframing AI vs teacher debate, replacing the 1800s classroom model, school-leader vs parent receptivity
Comment posted:
The reframe that AI is replacing the 1800s one-teacher-forty-students model rather than the teacher is the cleaner argument, do you find school leaders accept that distinction faster than parents do?