Superplan

Planning Layer For Your AI Agents.

[Puneet Bhatt @Puneet_Bhatt_]

my friend is probably in the top 1% of frontend Devs in india, extremely perf focused, cracked 4-5 rounds with sarvam, CodeRabbit, emergent,etc. but just do the same bullshit or other without feedback. Have seen interviewers come unprepared and ask irrelevant shit.1/2

[Puneet Bhatt @Puneet_Bhatt_]

VCs & analysts of twitter, how well do platforms like GLG or alphasights work for you? I've been on the other side as an expert & it requires such a high trust to work. I've seen experts just trying to maximize their hourly rate and calls. 1/2

[Superplan @perceptionailab]

AI agents don't have a capability problem, they have a context problem.

We've been experimenting with structured planning, accountability logs, and context management to get consistent output from Claude Code, Cursor, and others.

Here's what's working 👇

https://t.co/ZEJK31o9Vl

[Superplan @perceptionailab]

AI agents don't have a capability problem, they have a context problem.

We've been experimenting with structured planning, accountability logs, and context management to get consistent output from Claude Code, Cursor, and others.

Here's what's working 👇

https://t.co/ZEJK31o9Vl

[Superplan @perceptionailab]

After working with AI agents in real systems, one thing is clear:
Prompting doesn’t fail because prompts are bad.
It fails because decisions stay implicit.

When agents re-infer intent at every step, drift and hallucinations are inevitable. Planning forces decisions before execution.

Read more: https://t.co/4cRO1QWtpQ