Marketing / Content Creation Live

Blog Topic Generation

Generate a ranked slate of blog topics for a theme, grounded in what is actually being written and searched right now, with the angle and keyword for each.

About the Agent

Challenges Blog Topic Generation addresses

Done by hand, content creation means gathering theme or product area and slate settings, working through 3 separate passes over the same material, then producing topic slate, keywords across the slate and what to publish first. None of it is difficult and all of it is exacting, which is the combination people are worst at holding. The errors that matter are the ones a tired reader does not notice, and they surface later — in a reconciliation, or in somebody’s reply. It waits until someone remembers it, which is usually the point at which it has become urgent. As volume grows the work does not get harder, only longer, and the first thing to go is the checking.

Blog Topic Generation runs that same sequence end to end and returns the result as structured artefacts. What it cannot settle it hands over rather than guesses at, and your correction is kept: it asks “Would you brief any of these?” after every run, and those answers become the set it is measured against. Nothing that moves money, alters a contract or reaches a customer executes without human approval, and every action is written to an audit log. The gain is in the volume that no longer has to be read, not in removing the judgement.

How it works

Step 1: Seeing what is already out there

First of 3. It works from theme or product area and slate settings and feeds the step after it.

Key Tasks:

  • Working from the run so far: This step takes theme or product area and slate settings and carries it toward step 2.
  • Following the same rules each time: The behaviour is configuration rather than judgement made fresh per run, so content creation is handled the same way every time.
  • Surfacing what it cannot settle: Anything ambiguous is passed on as ambiguous rather than resolved silently.

Outcome:

  • Passed on: The result passes to the next step, with anything unresolved carried forward as an open item rather than dropped.

Step 2: Generating the slate

Step 2 of 3. It takes what step 1 produced and hands its result to step 3.

Key Tasks:

  • Writing from the run, not from a template: The text is built from what this run actually found, so two content creation outputs differ where the underlying records differ.
  • Leading with what needs a decision: The exceptions come first and the routine detail follows, because the reader is deciding rather than reading.
  • Staying inside the evidence: Nothing appears in the text that is not supported by a record the run examined. Gaps are stated as gaps.

Outcome:

  • Artefact ready: A finished artefact, traceable line by line to the records behind it, ready for a person to accept or correct.

Step 3: Saying what to publish first

Last of 3. It takes what step 2 produced and produces topic slate and keywords across the slate.

Key Tasks:

  • Handling what to publish first: The work at this step is what to publish first, scoped to that and not extended to anything the run has already settled.
  • Leaving the record behind it: What this step did and what it decided are written down, so the result can be traced without re-running the step.
  • Working from the run so far: This step takes what step 2 produced and carries it toward topic slate and keywords across the slate.

Outcome:

  • What to publish first handled: The result passes to the next step, with anything unresolved carried forward as an open item rather than dropped.

Step 4: Your review, and what it changes

The run ends with a person, not with a result being filed.

Key Tasks:

  • Asking a specific question: It asks “Would you brief any of these?” rather than for a rating. A question about this run is answerable; a score out of five is not.
  • Keeping the correction: What you change is recorded against the case that produced it, so the disagreement is retrievable rather than absorbed.
  • Building the evaluation set: Those cases become what the agent is measured on. It is scored against your judgement rather than against a general benchmark.

Outcome:

  • A measured agent, not an assumed one: The cases Blog Topic Generation handles well and the cases it does not are both visible, and the second list is the one that decides what changes. Nothing is retrained silently on the back of a single correction.

Why use Blog Topic Generation?

  • Every statement cites its source: Findings come back with the records behind them, so a reviewer can check a claim instead of deciding whether to trust it. An assertion with no source is the expensive kind to discover late.
  • A batch is one run, not a hundred: It works the whole set in a single pass and returns a row per item with its verdict, so the volume that needs no attention never has to be opened.
  • Corrected by the people using it: After each run it asks “Would you brief any of these?”. Those answers become the evaluation set, which means it is measured against your judgement rather than ours.
  • Reads and reports, does not act: It returns a result for review rather than writing changes back on its own. Anything that moves money, alters a contract or reaches a customer needs human approval first.
  • Structured results, not prose: All 4 artefacts are structured — topic slate, keywords across the slate and what to publish first — so a result can be scanned, sorted and acted on instead of read end to end.

Oversight

Runs under scoped, least-privilege credentials with every action written to an audit log. Anything that moves money, alters a contract or reaches a customer requires human approval before it executes.

Content Creation

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Next Step

Deploy Blog Topic Generation, or adapt it

It runs as-is. Most deployments diverge — a different source system, a different tolerance, a different approval path. A 30-minute technical call establishes which.

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  • Scoping notes sent within 48 hours
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