Template · agentic content flow

Reddit posts that don't read like ads. Drafted, judged, and fixed by an agentic flow.

A writer model drafts value-first posts, a panel of 14 AI judges grades every one, and an editor fixes what falls short. The flow picks the subreddit, attaches a real image, and shows you every score. You assemble it on Evaligo in minutes, no code. And it comes pre-optimized:

−21% cost

and higher quality than running the priciest model everywhere

0.973

judge quality score of the tuned setup, across 14 criteria

30×

cheaper option available, keeping 98% of the quality

Run the best flow free See how it works

Free plan · 500 monthly credits · no credit card

Example output · a Reddit post this flow wrote

r/artificialgraded 0.97 / 1.0

We ran 9 models on the same fact-checking task. The rankings surprised me.

Been trying to automate a fact-check pass on drafts before they go out. The obvious move is "just use the biggest model," but I wanted numbers instead of vibes.

So I fed 9 models the same articles with known errors and scored them…

content value0.97

subreddit rules0.95

engagement1.00

+ 11 more checks on every post

Generated by this flow: the post, the subreddit, the image, and its judge scores.

How it works

Three steps. No code.

Start from this ready-made template. The agent is already built; you just point it at your content.

Point it at your pages

Add your site's pages and the communities you care about. The agent reads the rules and your posting history.

Run it

One click. It drafts, browses for a real image, grades itself on 14 rules, and fixes what falls short.

Review and post

You get publish-ready posts, each with a chosen subreddit, an attached image, and a quality score.

Blue = the AI that writes and edits · green = the judges that grade. The agent runs all of this on its own.

Pick the right model in minutes

Not sure which AI model to use? Let Evaligo test them.

Choose the models to compare, set a cost cap, hit run. In about eight minutes Evaligo scores every setup with your judge panel, so you decide with evidence instead of a hunch. A real result from this agent: the cheapest model came within a hair of the priciest.

Optimize your agentic flow Learn how optimization works

Cheapest model: 98% of the quality, 3% of the cost

quality (judge score) vs. cost per run

6 setups · grey dots are the other combinations · scored by an Opus 4.8 judge panel

Everything you can do on Evaligo

Set your own quality bar

Add a judge by typing what "good" means

No rubric to code. Write the goal in plain English, pick which model grades, and toggle whether it can browse to verify. Evaligo runs it on every post and returns a 0–1 score with a reason. This agent uses 14. Here are three, exactly as you would set them up:

Content value0–1

Does the post actually teach something or spark real discussion, instead of reading as an ad?

judge · opus 4.8can browse · yes

Community compliance0–1

Does it respect the subreddit's rules? If the community bans self-promotion, it must not name the company.

judge · opus 4.8can browse · yes

Human voice0–1

Does it read like a real person wrote it, not a marketer, and not an AI with stock phrases?

judge · opus 4.8can browse · yes

What comes back on every run: a score and the judge's reason, per post

0.90

Community compliance

"The response accurately summarizes the posts while adhering to subreddit rules, focusing on community-relevant content without self-promotion."

a real verdict from this agent's judge panel

plus 11 more on this panel

Content relevanceOriginalityEngagement potentialImage providedRejection learningAvoids prior errorsGuideline adherenceSkimmable formatFormat adherenceChannel suggestedOutput completeness

Cheap by default

Evaligo keeps it fast and cheap. You don't tune a thing.

The platform handles the plumbing: it lets the agent browse so posts stay accurate, caches whatever repeats between runs, and hands throwaway sub-tasks to cheap models. Every run shows its exact cost and token use.

Tool use

It reads the real page

For every post, the agent opens the source page to pull a genuine image and web-searches to ground the claims. The judges browse too, so accuracy is checked against the live web, not guessed.

Token usage

Cost is a token budget

The cheapest setup ran on about 4× fewer tokens than the priciest.

46K vs 193K tokens/run

Caching

We don't re-read what never changes

Your rules and pages are identical every run, so caching reuses them. The final pass reads the cached conversation at about a tenth of the price instead of resending it.

30,907 → 0

re-processed tokens · −16% cost · same quality

Right model for the job

No paying the smart model to tidy text

Reformatting the final answer used to run on the expensive writer model, nearly half that step's cost. Evaligo hands it to a cheap model automatically.

$0.30 → pennies

the reformat step, rerouted automatically

The full report

One experiment, every model ranked for you

This is the report Evaligo produced from a single run: six setups, ranked by the judge panel. One model writes the draft and one edits it, so opus · mini means a strong writer with a cheap editor. You get the same table for your own flow.

Writer · Editor	Quality	Cost / run
opus · mini	0.973	$1.18	best value
opus · opus (priciest)	0.970	$1.50	beaten on quality and cost
mini · mini (cheapest)	0.957	$0.05	98% of the quality, 3% of the cost
gpt-5.5 · gpt-5.5	0.949	$1.59	pricey, middling
mini · opus	0.918	$0.43	a good editor can't save a weak draft
gemini · gpt-5.5	0.881	$0.60	weakest

Put your best model on the writing. A strong writer with a cheap editor beat a strong writer with an expensive one.

Change something? You'll know instantly

Re-run, and the judges tell you if it got worse

We tried the editor step on a cheaper model and re-ran the experiment, grading the same posts before and after its edit. The verdict came back in one run: the edit made every post worse, and it even dropped the image. Every change you make gets the same automatic check before you ship.

cheap writer · overall

0.8890.835

worse after the edit

strong writer · overall

0.9560.934

worse after the edit

kept the image?

0.520.23

the edit dropped the image

obeyed the subreddit?

0.890.75

its own top rule

This is the point. On Evaligo you don't ship regressions: the judges catch them in the time it takes to run one experiment.

Connect your flow and get the same checks

Before you start

Common questions

Do I need my own OpenAI or Anthropic keys?

No. The free plan includes 500 monthly credits that run the agent on our supported models.

Can I change which models it uses?

Yes. Every step has a model picker, and you can run an experiment to compare options before you commit.

Does it post to Reddit for me?

It prepares publish-ready posts with the subreddit chosen and an image attached. You review and post, and you can run the flow on a schedule so fresh drafts are waiting for you.

Can I change the judges?

Yes. Judges are plain-English goals. Add, remove, or reword them, and the scores update on the next run.

Build this agent in minutes

Start from the finished template, point it at your pages, and let it write, grade, and fix its own Reddit posts. Free to start, no code.

Run the best flow free Explore Evaligo

500 free monthly credits · deploy any flow as an API · no credit card