Ramanpal Singh

Part-time wanderer, full-time AI enthusiast 🤖 | Automation & Prompt Engineer

[Ramanpal Singh @ramanpal]

The most useless plan

You hit the limit in 5 minutes 😭

[Ramanpal Singh @ramanpal]

@pcshipp There’s an app for this Claude Code + Codex + Gemini CLI Working Together (Full Tutorial)
https://t.co/McSwve4OR1

[Ramanpal Singh @ramanpal]

Takeaway:

Fable 5.1 can run long.
Without the nudge it still stops to narrate.

Autonomous opener + "do the next step, don't announce it."
Then your GEO / brief / publish agent finishes without "continue."

[Ramanpal Singh @ramanpal]

Claude Fable 5.1 tip that fixed my long marketing agents:

It drafts the plan.
Says "Next, I'll…"
Ends the turn.

I have to reply "continue."

Anthropic's own Fable 5.1 prompting docs call this out.
Long-horizon model. Still needs a finish-the-whole-task nudge.

[Ramanpal Singh @ramanpal]

Block 2 = scope is the deliverable.

Don't quietly narrow the ask.
If one part is blocked → finish every other part, then say what you left out.
A step you decided on is something to RUN, not announce.

I paste both into every Fable 5.1 agent that ships drafts overnight.

[Ramanpal Singh @ramanpal]

Keep the opening line as written:
"The user is not watching in real time…"

Anthropic says that sentence carries much of the effect.

Exception they bake in:
If the user is diagnosing / thinking out loud → report findings. Don't "fix" until asked.

[Ramanpal Singh @ramanpal]

Fix = two system prompt blocks (Anthropic).

Block 1 (most of the effect):
Operate autonomously. User isn't watching mid-task.
Reversible in-scope work → proceed. No "Want me to…?"
If last paragraph is a plan / "I'll…" → do it with tools. Now.

[Ramanpal Singh @ramanpal]

Symptom on async workloads:

• Describes the next step instead of doing it
• Asks "Shall I apply this?" when you already asked
• Pair-programming pause ≠ production agent

Users babysit with "go ahead."
That burns the model's long-horizon edge.

[Ramanpal Singh @ramanpal]

This is one of my favorite SEO → GEO handoff signals.

When a page picks up impressions on queries I never targeted, I treat it as a prompt cluster Google already likes.

I cluster those queries, rewrite one comparison/how-to angle, and check whether AI Overviews start citing the same URL.

[Ramanpal Singh @ramanpal]

@capcutapp @issei_0806 @anjas_maradita @upieguava Creator events are underrated distribution labs.

I don't just watch the highlight reel — I note which local hooks, formats, and CapCut templates actually traveled.

Then I rebuild those patterns into a reusable cutdown system for the next week of content.

[Ramanpal Singh @ramanpal]

I keep claim templates + remake prompts at https://t.co/SVDcENMt5Q — reusable blocks, not a random post calendar.

Start tonight:
Pick 1 claim. Map it to thread + image + 2 replies. Skip inventing 7 topics.

Which container do you underuse most — thread, image, or reply?

[Ramanpal Singh @ramanpal]

I don't need 7 ideas for a content week.

I need 1 claim and a remix map.

Same truth → thread, post, reply, email, checklist card — different containers.

Process > idea panic.

[Ramanpal Singh @ramanpal]

Quality gates before I ship any remake:

• Public metrics only
• Process > hype
• One soft CTA max across the day
• Text-only when a graphic doesn't earn it
• Latest-post replies only

If a remake fails a gate, I cut it. I don't "fill the calendar."

[Ramanpal Singh @ramanpal]

Takeaway:

Sonnet 5 thinks first.
Your old content[0].text parser reads the wrong block.

Select by type.
Or use merged_response in n8n.
Or disable thinking when you don't need it.

Ship the draft that actually has text.

[Ramanpal Singh @ramanpal]

Claude Sonnet 5 tip that saved my n8n marketing agents:

Run went green.
Next node got nothing.

No red error. No crash. Just empty copy.

Cause: adaptive thinking is ON by default.
Reply can start with a thinking block.
content[0].text → index 0 is thinking → undefined.

[Ramanpal Singh @ramanpal]

Also raise max_tokens.

Thinking tokens count toward the same max_tokens budget as the answer.

A limit fine on Sonnet 4.6 can burn inside thinking and return no text block at all.

Give the call more headroom than your old "answer only" cap.